All Stories

  1. Computer vision and IoT based plant phenotyping and growth monitoring with 3D point clouds
  2. A dynamic routing-guided interpretable framework for salt–solvent chemistry
  3. Sustainable PFAS Removal from Electronics Wastewater through a Cost-Health Trade-Off Framework
  4. Biochar from Livestock Waste: A Pathway to Sustainable Agriculture and Climate Change Mitigation
  5. The synergy of geometric tolerance factor and machine learning in discovering stable materials
  6. Aligning EU energy security and climate mitigation through targeted transition strategies
  7. From Seaweed Biorefinery to Bioplastics: A Life Cycle Analysis of Energy Use and Environmental Impacts
  8. AI-driven energy and environmental control for sustainable space farming under altered gravity
  9. Machine learning pipelines for the design of solid-state electrolytes
  10. A Novel Fractional Programming-Based Planning Model for 100% Renewable Poly-Generation of Electricity and Methanol
  11. Non-Iterative Coordination of Interconnected Power Grids via Dimension-Decomposition-Based Flexibility Aggregation
  12. Life cycle assessment of seaweed-based biorefineries: environmental impacts, hotspots, and pathways for a circular bioeconomy
  13. Quantifying the global eco-footprint of wearable healthcare electronics
  14. Automating Life Cycle Assessments through Artificial Intelligence Agents and Integrated Assessment Models
  15. Leveraging Deep Reinforcement Learning within Optimal Renewable Energy Strategies for Sustainable AI Data Centers
  16. Liquid crystal–driven interfacial ordering of colloidal microplastics: Advancing microplastic characterization below the macroscale
  17. 3D plant phenotyping from a single image: learning fine-scale organ morphology with monocular depth estimation
  18. Advances and challenges in energy and climate alignment of AI infrastructure expansion
  19. Toward AI ecosystems for electrolyte and interface engineering in solid-state batteries
  20. Environmental impact and net-zero pathways for sustainable artificial intelligence servers in the USA
  21. Cropland Enhanced Weathering in Low GDP Regions for Gigaton Scale Carbon Removal with Potential Economic Co-benefits
  22. A Techno-Economic-Ecological Systems Approach to Sustainable Agrivoltaics Development: Current Advancements, Key Challenges, and Future Directions
  23. Precision Decarbonization for Clean Dairy Farming with Digital Twin and Edge Intelligence
  24. Hierarchical Reinforcement Learning with Dynamic Meta Agent for Adaptive Cut Selection in Integer Programming with Applications to Sensor Network Design
  25. PSCG-Net: A Multiscale Crystal Graph Neural Network for Accelerated Materials Discovery
  26. Rethinking Retrosynthesis: Curriculum Learning Reshapes Transformer-Based Small-Molecule Reaction Prediction
  27. AI Applications in the Environmental Control of Controlled Environment Agriculture in the Digital Age
  28. Localized Codigestion Is Promising for Sustainable Wastewater Treatment in China
  29. De Novo Design of Multiple Microplastic-Binding Peptides with a Protein Language Model-Guided Generative Adversarial Network
  30. Sustainable supply of critical materials for water electrolysers and fuel cells
  31. Energy-efficient greenhouse climate control using Gaussian process-based stochastic model predictive control
  32. Future Manufacturing with AI-Driven Particle Vision Analysis in the Microscopic World
  33. The potential for differentiated vehicle segment tariffs
  34. Exploring Chemical Space with Chemistry-Inspired Dynamic Quantum Circuits in the NISQ Era
  35. Cyber physical biological system in controlled environment agriculture for energy optimization: A comprehensive overview, key challenges, and future outlook
  36. Empowering Generalist Material Intelligence with Large Language Models
  37. Leveraging generative models with periodicity-aware, invertible and invariant representations for crystalline materials design
  38. Transitioning Photovoltaics to All-Perovskite Tandems Reduces 2050 Climate Change Impacts of PV Sector by 16%
  39. Assessing the Environmental Footprint of Bitcoin: A Comprehensive Analysis of Water, Land, and Carbon Impacts
  40. Knowledge Distillation for Molecular Property Prediction: A Scalability Analysis
  41. Techno-economic and environmental optimization of agrivoltaics: A case study of Cornell University
  42. Addendum: Trade-off between critical metal requirement and transportation decarbonization in automotive electrification
  43. Robust Assessments of Lithium Mining Impacts Embodied in Global Supply Chain Require Spatially Explicit Analyses
  44. Strategic Design and Multiperiod Optimization under Uncertainty of Solid Sorbent Direct Air Capture Supply Chains in Europe
  45. Computer-aided molecular design by aligning generative diffusion models: Perspectives and challenges
  46. Decarbonizing energy: Plastic waste trade for zero waste 2040
  47. Climate Sustainability through AI-Crypto Synergies and Energy Transition in the Digital Landscape to Cut 0.7 GtCO2e by 2030
  48. Encoding proteins as quantum states with approximate quantum state preparation by iterated sparse state preparation
  49. Aqueous-based recycling of perovskite photovoltaics
  50. Plant Location
  51. Integrating biophysical modeling, quantum computing, and AI to discover plastic-binding peptides that combat microplastic pollution
  52. A life cycle assessment and techno-economic analysis of plant factories
  53. Sustaining regional infrastructure resiliency with externality for plastic waste circularity via geospatially-enhanced P-graph-life cycle optimization framework
  54. Biophysics-guided uncertainty-aware deep learning uncovers high-affinity plastic-binding peptides
  55. Molecular representation learning: cross-domain foundations and future Frontiers
  56. Optimal Participation Design of DERs in General Frequency Shaping Services
  57. Perspectives for sustainability analysis of scalable perovskite photovoltaics
  58. AI-driven rational design of promiscuous and selective plastic-binding peptides
  59. Unified Decentralized Small-Signal Stability Criterion for Grid-Connected Converters
  60. Designing microplastic-binding peptides with a variational quantum circuit–based hybrid quantum-classical approach
  61. Advancing microplastic analysis in the era of artificial intelligence: From current applications to the promise of generative AI
  62. Bayesian optimization for battery electric vehicle charging station placement by agent-based demand simulation
  63. From fertilizer to fuel: Ammonia’s evolution and role in global decarbonization
  64. Interpretable Surrogate Learning for Electronic Material Generation
  65. Broaden sustainable design and optimization of decarbonized campus Energy systems with scope 3 emissions accounting and social ramification analysis
  66. GenAI for Scientific Discovery in Electrochemical Energy Storage: State‐of‐the‐Art and Perspectives from Nano‐ and Micro‐Scale
  67. Correction to “Microplastic Human Dietary Uptake from 1990 to 2018 Grew across 109 Major Developing and Industrialized Countries but Can Be Halved by Plastic Debris Removal”
  68. Sustainable energy management and control for Decarbonization of complex multi-zone buildings with renewable solar and geothermal energies using machine learning, robust optimization, and predictive control
  69. Experimental study and techno-enviro-economic analysis of pavement-integrated photovoltaic/thermal applications in different cities considering the ground influence
  70. When Metal Nanoclusters Meet Smart Synthesis
  71. Artificial intelligence can regulate light and climate systems to reduce energy use in plant factories and support sustainable food production
  72. Preventing the Immense Increase in the Life-Cycle Energy and Carbon Footprints of LLM-Powered Intelligent Chatbots
  73. AI for science in electrochemical energy storage: A multiscale systems perspective on transportation electrification
  74. Consequential versus attributional life cycle optimization of poultry manure management technologies in a food-energy-water-waste nexus
  75. Demand response for residential buildings using hierarchical nonlinear model predictive control for plug-and-play
  76. Microplastics monitoring in freshwater systems: A review of global efforts, knowledge gaps, and research priorities
  77. Generative artificial intelligence in chemical engineering spans multiple scales
  78. Generative AI and process systems engineering: The next frontier
  79. Large language models for life cycle assessments: Opportunities, challenges, and risks
  80. Versatile Deep Learning Pipeline for Transferable Chemical Data Extraction
  81. Energy Scheduling and Control of Grid-Interactive Communities with Physically Consistent Deep Learning
  82. Multi-agent Deep Reinforcement Learning for Energy Management in Grid-Responsive Networked Greenhouses
  83. A data-aided robust approach for bottleneck identification in power transmission grids for achieving transportation electrification ambition: a case study in New York state
  84. Demand flexibility and cost-saving potentials via smart building energy management: Opportunities in residential space heating across the US
  85. Variational quantum circuit learning-enabled robust optimization for AI data center energy control and decarbonization
  86. Importance of Terrain and Climate for Predicting Soil Organic Carbon Is Highly Variable across Local to Continental Scales
  87. Beyond wages: The transformative role of strikes in accelerating transportation electrification
  88. AI-based optimal control of fed-batch biopharmaceutical process leveraging deep reinforcement learning
  89. Decarbonization through smart energy management: Climate control in building-integrated rooftop greenhouses for urban agriculture across various climate conditions
  90. Variational quantum circuit based demand response in buildings leveraging a hybrid quantum-classical strategy
  91. Application of Robust Model Predictive Control Using Principal Component Analysis to an Industrial Thickener
  92. From sustainable macro debris chemical recycling to microplastic reclamation: Overview, research challenges, and outlook
  93. Microplastic Human Dietary Uptake from 1990 to 2018 Grew across 109 Major Developing and Industrialized Countries but Can Be Halved by Plastic Debris Removal
  94. Leveraging 2D molecular graph pretraining for improved 3D conformer generation with graph neural networks
  95. Climate sustainability through a dynamic duo: Green hydrogen and crypto driving energy transition and decarbonization
  96. AI-enabled cyber-physical-biological systems for smart energy management and sustainable food production in a plant factory
  97. Can bitcoin mining empower energy transition and fuel sustainable development goals in the US?
  98. Energy management for demand response in networked greenhouses with multi-agent deep reinforcement learning
  99. Energy, climate, and environmental sustainability of trend toward occupational-dependent hybrid work: Overview, research challenges, and outlook
  100. Robust design of hybrid solar power systems: Sustainable integration of concentrated solar power and photovoltaic technologies
  101. Assessment of AI-Based Robust Model Predictive Control Application in Large-Scale Photovoltaic-Based Controlled Environment Agriculture for Urban Agriculture
  102. Demand Response in Building Microgrids with Variational Quantum Circuit Enabled Hybrid Control Strategy
  103. MPC for the Indoor Climate Control and Energy Optimization of a Building-Integrated Rooftop Greenhouse Systems
  104. Physically consistent deep learning-based day-ahead energy dispatching and thermal comfort control for grid-interactive communities
  105. Sailing towards sustainability: offshore wind's green hydrogen potential for decarbonization in coastal USA
  106. Approaches towards a sustainable and low carbon emissions production
  107. Integrated optimization in operations control and systems design for carbon emission reduction in building electrification with distributed energy resources
  108. Detect and attribute the extreme maize yield losses based on spatio-temporal deep learning
  109. From Mining to Mitigation: How Bitcoin Can Support Renewable Energy Development and Climate Action
  110. Advancing sustainable development goals with machine learning and optimization for wet waste biomass to renewable energy conversion
  111. An AI framework integrating physics-informed neural network with predictive control for energy-efficient food production in the built environment
  112. Blockchain technology applications in waste management: Overview, challenges and opportunities
  113. Cornell university campus metabolism and circular economy using a living laboratory approach to study major resource and material flows
  114. Climate mitigation potentials of teleworking are sensitive to changes in lifestyle and workplace rather than ICT usage
  115. A Systematic Review on power systems planning and operations management with grid integration of transportation electrification at scale
  116. Electrifying light commercial vehicles for last-mile deliveries: Environmental and economic perspectives
  117. Attention Based Multi-Agent Reinforcement Learning for Demand Response in Grid-Responsive Buildings
  118. Molecular design with automated quantum computing-based deep learning and optimization
  119. Climate concerns and the future of nonfungible tokens: Leveraging environmental benefits of the Ethereum Merge
  120. Building thermal modeling and model predictive control with physically consistent deep learning for decarbonization and energy optimization
  121. Multi-Agent attention-based deep reinforcement learning for demand response in grid-responsive buildings
  122. Will reshoring manufacturing of advanced electric vehicle battery support renewable energy transition and climate targets?
  123. Building electrification and carbon emissions: Integrated energy management considering the dynamics of the electricity mix and pricing
  124. Model Predictive Control for Distributed Energy Systems Management in Electrifying Buildings: carbon emission reduction in response to dynamic electricity price and carbon intensity
  125. Thermal Comfort Control on Sustainable Building via Data-Driven Robust Model Predictive Control
  126. Sustainable energy integration within the circular economy
  127. Cascading Polymer Macro-Debris Upcycling and Microparticle Removal as an Effective Life Cycle Plastic Pollution Mitigation Strategy
  128. Trade-off between critical metal requirement and transportation decarbonization in automotive electrification
  129. Deep Reinforcement Learning Based Unit Commitment Scheduling under Load and Wind Power Uncertainty
  130. Environmental Sustainability of the Globalized Pharmaceutical Supply Chains: The Case of Tenofovir Disoproxil Fumarate
  131. Liquid Crystals as Multifunctional Interfaces for Trapping and Characterizing Colloidal Microplastics
  132. Reshoring silicon photovoltaics manufacturing contributes to decarbonization and climate change mitigation
  133. Critical metal requirement for clean energy transition: A quantitative review on the case of transportation electrification
  134. Emerging information and communication technologies for smart energy systems and renewable transition
  135. Energy-efficient AI-based Control of Semi-closed Greenhouses Leveraging Robust Optimization in Deep Reinforcement Learning
  136. Impacts of battery energy storage technologies and renewable integration on the energy transition in the New York State
  137. Multi-zone building control with thermal comfort constraints under disjunctive uncertainty using data-driven robust model predictive control
  138. An integrated chemical engineering approach to understanding microplastics
  139. Data-Driven Robust Model Predictive Control on Building Climate Control with Renewable Energy
  140. Demand Response in Microgrids with Attention-Based Deep Reinforcement Learning
  141. Economic Benefits from Planned Renewable Installations in the US using Hydrogen and Modular Ammonia Production Units
  142. Energy management for controlled environment agriculture based on physics informed neural networks and adaptive linearization based data-driven robust model predictive control with AI
  143. Life Cycle Assessment on Chemical Recycling-aided Cascaded Use of Polypropylene Plastics
  144. Optimal energy management in greenhouses using distributed hybrid DRL-MPC framework
  145. Periodic module rejuvenation provides early market entry for circular all-perovskite tandem photovoltaic technologies
  146. The growing metaverse sector can reduce greenhouse gas emissions by 10 Gt CO2e in the united states by 2050
  147. Model Predictive Control for Price-Based Demand-Responsive Building Control by Leveraging Active Latent Heat Storage
  148. Graphene environmental footprint greatly reduced when derived from biomass waste via flash Joule heating
  149. How sustainable are the biodegradable medical gowns via environmental and social life cycle assessment?
  150. Model predictive control for Demand- and Market-Responsive building energy management by leveraging active latent heat storage
  151. Sustainable cleaner production through process integration, modelling and optimisation
  152. Targeting climate‐neutral hydrogen production: Integrating brown and blue pathways with green hydrogen infrastructure via a novel superstructure and simulation‐based life cycle optimization
  153. Model predictive control in phase-change-material-wallboard-enhanced building energy management considering electricity price dynamics
  154. AI framework with computational box counting and Integer programming removes quantization error in fractal dimension analysis of optical images
  155. Renewable energy-powered semi-closed greenhouse for sustainable crop production using model predictive control and machine learning for energy management
  156. Sustainable building climate control with renewable energy sources using nonlinear model predictive control
  157. Plastic Circular Economy Framework using Hybrid Machine Learning and Pinch Analysis
  158. Can Texas mitigate wind and solar curtailments by leveraging bitcoin mining?
  159. Deep learning to catalyze inverse molecular design
  160. Quantum computing and quantum artificial intelligence for renewable and sustainable energy: A emerging prospect towards climate neutrality
  161. Model Predictive Control and Machine Learning for Greenhouse Energy and Crop Production Optimization
  162. Optimizing Semi-Closed Greenhouse Temperature, Humidity, CO2Concentration, and Light Intensity Using a Nonlinear Model Predictive Control Approach
  163. Life Cycle Assessment of Microplastics Reveals Their Greater Environmental Hazards than Mismanaged Polymer Waste Losses
  164. COVID-19 impact on an academic Institution's greenhouse gas inventory: The case of Cornell University
  165. Intelligent control and energy optimization in controlled environment agriculture via nonlinear model predictive control of semi-closed greenhouse
  166. Deep Reinforcement Learning Based Automatic Control in Semi-Closed Greenhouse Systems
  167. Deep Reinforcement Learning based Solution Approach for Unit Commitment under Demand and Wind Power Uncertainty
  168. Hybrid Physics-based and Data-driven Model Predictive Control for Multi-Zone Building’s Thermal Comfort Under Disjunctive Uncertainty
  169. Robust Unit Commitment Optimization under Volatile Wind Power Outputs Assisted by Clustering-based Data-Driven Techniques
  170. Machine learning for multiscale modeling in computational molecular design
  171. Quantum computing for chemical and biomolecular product design
  172. Sustainable design of Cornell University campus energy systems toward climate neutrality and 100% renewables
  173. Sustainable power systems operations under renewable energy induced disjunctive uncertainties via machine learning-based robust optimization
  174. Semiclosed Greenhouse Climate Control Under Uncertainty via Machine Learning and Data-Driven Robust Model Predictive Control
  175. Perspectives of quantum computing for chemical engineering
  176. The application of nonlinear programming on ration formulation for dairy cattle
  177. Forecasting plastic waste generation and interventions for environmental hazard mitigation
  178. New frontiers of quantum computing in chemical engineering
  179. Climate Control in Controlled Environment Agriculture Using Nonlinear MPC
  180. Data-Driven Adaptive Robust Unit Commitment Assisted by Machine Learning Techniques
  181. Data-driven Robust Model Predictive Control with Disjunctive Uncertainty for Building Control
  182. Deep Learning Based Distributionally Robust Joint Chance Constrained Economic Dispatch Under Wind Power Uncertainty
  183. Deep Reinforcement Learning Based Automatic Control in Semi-Closed Greenhouse Systems
  184. Correction: Mining bitcoins with carbon capture and renewable energy for carbon neutrality across states in the USA
  185. Hybrid Classical-Quantum Optimization Techniques for Solving Mixed-Integer Programming Problems in Production Scheduling
  186. Hybrid Physics-based and Data-driven Model Predictive Control for Multi-Zone Building's Thermal Comfort Under Disjunctive Uncertainty
  187. Mining bitcoins with carbon capture and renewable energy for carbon neutrality across states in the USA
  188. Model predictive control for greenhouse condition adjustment and crop production prediction
  189. Renewable Power Systems Transition Planning using a Bottom-Up Multi-Scale Optimization Framework
  190. Scheduling of Electrical Power Systems under Uncertainty using Deep Reinforcement Learning
  191. Sustainable Design of Hybrid Energy Systems for Net Zero Carbon Emission
  192. Toward Carbon-Neutral Electric Power Systems in the New York State: a Novel Multi-Scale Bottom-Up Optimization Framework Coupled with Machine Learning for Capacity Planning at Hourly Resolution
  193. Trend towards virtual and hybrid conferences may be an effective climate change mitigation strategy
  194. Can decontamination and reuse of N95 respirators during COVID-19 pandemic provide energy, environmental, and economic benefits?
  195. Quantum computing based hybrid deep learning for fault diagnosis in electrical power systems
  196. Optimal Design of Future Campus Energy Systems for Carbon-Neutrality
  197. Renewable Power Systems Transition for New York State using a Multi-Scale Bottom-Up Planning Framework
  198. Second life and recycling: Energy and environmental sustainability perspectives for high-performance lithium-ion batteries
  199. Smart greenhouse control under harsh climate conditions based on data-driven robust model predictive control with principal component analysis and kernel density estimation
  200. Next generation pure component property estimation models: With and without machine learning techniques
  201. A Posteriori Probabilistic Bounds of Convex Scenario Programs With Validation Tests
  202. Machine Learning and Data-Driven Techniques for the Control of Smart Power Generation Systems: An Uncertainty Handling Perspective
  203. Consequential Life Cycle Assessment and Optimization of High-Density Polyethylene Plastic Waste Chemical Recycling
  204. Data-driven robust model predictive control framework for stem water potential regulation and irrigation in water management
  205. Nonlinear soft sensor development for industrial thickeners using domain transfer functional-link neural network
  206. Energy and Environmental Sustainability Assessment of Photovoltaics Transition toward Perovskite–Perovskite Tandems from the Attributional and Consequential Perspectives
  207. Bilayer Distributed Optimization for Robust Microgrid Dispatch With Coupled Individual-Collective Profits
  208. Life cycle assessment of recycling strategies for perovskite photovoltaic modules
  209. Paradigm Shift: The Promise of Deep Learning in Molecular Systems Engineering and Design
  210. Data-Driven Ambiguous Joint Chance Constrained Economic Dispatch with Correlated Wind Power Uncertainty
  211. Can Artificial Intelligence and Machine Learning Be Used to Accelerate Sustainable Chemistry and Engineering?
  212. New York State's 100% renewable electricity transition planning under uncertainty using a data-driven multistage adaptive robust optimization approach with machine-learning
  213. Process systems engineering – The generation next?
  214. Online learning based risk-averse stochastic MPC of constrained linear uncertain systems
  215. Sustainable Residential Micro-Cogeneration System Based on a Fuel Cell Using Dynamic Programming-Based Economic Day-Ahead Scheduling
  216. Waste respirator processing system for public health protection and climate change mitigation under COVID-19 pandemic: Novel process design and energy, environmental, and techno-economic perspectives
  217. Waste high‐density polyethylene recycling process systems for mitigating plastic pollution through a sustainable design and synthesis paradigm
  218. A Hybrid Solution Approach for Large-scale Batch Scheduling with Quantum Computing
  219. A Novel Process Design for Waste Respirator Processing
  220. A Platform of Machine Learning-Based Next-Generation Property Estimation Methods for CAMD
  221. Data-Driven Robust MPC for Controlled Environment Agriculture
  222. Design of Food-Energy-Water-Waste Nexus Systems in New York State under COVID-19 Pandemic
  223. Fault Diagnosis of Electrical Power Systems with Hybrid Quantum-Classical Deep Learning
  224. Food-energy-water-waste nexus systems optimization for New York State under the COVID-19 pandemic to alleviate health and environmental concerns
  225. Life Cycle Optimization of Hybrid Energy Systems towards Carbon Neutrality
  226. Liquefied natural gas supply chain using liquid air as a cold carrier: Novel method for energy recovery
  227. Sustainable Process Design and Synthesis for HDPE Recycling
  228. Synthesis and Design of Sustainable Integrated Process, Water Treatment, Energy Supply Networks and Carbon Utilization Networks Under Uncertainty
  229. Can renewable generation, energy storage and energy efficient technologies enable carbon neutral energy transition?
  230. Quantum computing assisted deep learning for fault detection and diagnosis in industrial process systems
  231. Simulation-based optimization framework for economic operations of autonomous electric taxicab considering battery aging
  232. Reducing the environmental impact of plastic pollution
  233. A Deep Learning Approach for Fault Detection and Diagnosis of Industrial Processes using Quantum Computing
  234. Combined internal resistance and state-of-charge estimation of lithium-ion battery based on extended state observer
  235. Deep learning and knowledge-based methods for computer-aided molecular design—toward a unified approach: State-of-the-art and future directions
  236. Multi‐stage economic model predictive control for a gold cyanidation leaching process under uncertainty
  237. Transfer learning for end-product quality prediction of batch processes using domain-adaption joint-Y PLS
  238. Retrofitting Municipal Wastewater Treatment Facilities toward a Greener and Circular Economy by Virtue of Resource Recovery: Techno-Economic Analysis and Life Cycle Assessment
  239. Core temperature modelling and monitoring of lithium-ion battery in the presence of sensor bias
  240. Soft‐ Constrained Model Predictive Control Based on Data‐Driven Distributionally Robust Optimization using Linear Decision Rule and Application to Energy Control
  241. Life cycle energy use and environmental implications of high-performance perovskite tandem solar cells
  242. Decentralized-distributed robust electric power scheduling for multi-microgrid systems
  243. Economically-Optimal Control of Electric Taxicab for Urban Driving Cycle
  244. Efficient Greenhouse Temperature Control with Data-Driven Robust Model Predictive
  245. Multistage Model Predictive Control based on Data-Driven Distributionally Robust Optimization
  246. Theoretical Exploration of Irrigation Control for Stem Water Potential through Model Predictive Control
  247. Resource recovery and waste-to-energy from wastewater sludge via thermochemical conversion technologies in support of circular economy: a comprehensive review
  248. Correction to “Noncooperative Game Theory To Ensure the Marketability of Organic Fertilizers within a Sustainable Circular Economy”
  249. Can Renewable Generation, Energy Storage and Energy Efficient Technologies Enable Carbon Neutral Energy Transition for New York State?
  250. Life Cycle Assessment and Technoeconomic Analysis of Thermochemical Conversion Technologies Applied to Poultry Litter with Energy and Nutrient Recovery
  251. Dynamic modeling, systematic analysis, and operation optimization for shell entrained-flow heavy residue gasifier
  252. Techno-Economic Feasibility and Spatial Analysis of Thermochemical Conversion Pathways for Regional Poultry Waste Valorization
  253. Poultry Waste Valorization via Pyrolysis Technologies: Economic and Environmental Life Cycle Optimization for Sustainable Bioenergy Systems
  254. Distributionally Robust Chance Constrained Programming with Generative Adversarial Networks (GANs)
  255. A transformation-proximal bundle algorithm for multistage adaptive robust optimization and application to constrained robust optimal control
  256. Active disturbance rejection temperature control of open-cathode proton exchange membrane fuel cell
  257. Non-cooperative game theory to ensure the marketability of organic fertilizers within a sustainable circular economy
  258. Novel Massive Thermal Energy Storage System for Liquefied Natural Gas Cold Energy Recovery
  259. Process-level modelling and optimization to evaluate metal–organic frameworks for post-combustion capture of CO2
  260. Quantum computing based hybrid solution strategies for large-scale discrete-continuous optimization problems
  261. Sustainable Design of Geothermal Energy Systems for Electric Power Generation Using Life Cycle Optimization
  262. Data-driven Wasserstein distributionally robust optimization for biomass with agricultural waste-to-energy network design under uncertainty
  263. Process systems engineering thinking and tools applied to sustainability problems: current landscape and future opportunities
  264. Dairy waste-to-energy incentive policy design using Stackelberg-game-based modeling and optimization
  265. Multiobjective economic and environmental optimization of global crude oil purchase and sale planning with noncooperative stakeholders
  266. Energy integration and optimisation for sustainable total site, process and equipment design
  267. Systematic Design and Optimization of a Membrane–Cryogenic Hybrid System for CO2 Capture
  268. Data Analytics and Machine Learning for Smart Process Manufacturing: Recent Advances and Perspectives in the Big Data Era
  269. 110th Anniversary: Surrogate Models Based on Artificial Neural Networks To Simulate and Optimize Pressure Swing Adsorption Cycles for CO2 Capture
  270. Carbon-neutral hybrid energy systems with deep water source cooling, biomass heating, and geothermal heat and power
  271. Considering agricultural wastes and ecosystem services in Food-Energy-Water-Waste Nexus system design
  272. Superstructure optimization of thermal conversion based poultry litter valorization process
  273. Chemical Process Scheduling under Disjunctive Uncertainty Using Data-Driven Multistage Adaptive Robust Optimization
  274. Data-Driven Adaptive Robust Optimization Framework for Unit Commitment under Renewable Energy Generation Uncertainty
  275. Distributionally Robust Optimization of Shale Gas Supply Chains under Uncertainty
  276. Industrial Steam Systems Optimization under Uncertainty Using Data-Driven Adaptive Robust Optimization
  277. Systems analysis, design, and optimization of geothermal energy systems for power production and polygeneration: State-of-the-art and future challenges
  278. Development of a General Evaluation Metric for Rapid Screening of Adsorbent Materials for Postcombustion CO2 Capture
  279. A data-approach for industrial utility systems optimization under uncertainty
  280. Optimization under uncertainty in the era of big data and deep learning: When machine learning meets mathematical programming
  281. Systems design and analysis of liquid air energy storage from liquefied natural gas cold energy
  282. Quantum computing for energy systems optimization: Challenges and opportunities
  283. Data-Driven Adaptive Robust Unit Commitment Under Wind Power Uncertainty: A Bayesian Nonparametric Approach
  284. Incorporating Agricultural Waste-to-Energy Pathways into Biomass Product and Process Network through Data-Driven Nonlinear Adaptive Robust Optimization
  285. Economic Process Selection of Liquefied Natural Gas Regasification: Power Generation and Energy Storage Applications
  286. A data-driven robust optimization approach to scenario-based stochastic model predictive control
  287. Comparative Life-Cycle Assessment of Li-Ion Batteries through Process-Based and Integrated Hybrid Approaches
  288. A novel cryogenic energy storage system with LNG direct expansion regasification: Design, energy optimization, and exergy analysis
  289. Robust Model Predictive Control of Irrigation Systems With Active Uncertainty Learning and Data Analytics
  290. How to assess the potential of emerging green technologies? Towards a prospective environmental and techno-economic assessment framework
  291. A multi-objective optimization-extended techno-economic assessment: exploring the optimal microalgal-based value chain
  292. A Data-Driven Robust Optimization Approach to Operational Optimization of Industrial Steam Systems under Uncertainty
  293. Consequential Life Cycle Analysis for Food-Water- Energy-Waste Nexus
  294. Data-Based Robust Model Predictive Control Under Conditional Uncertainty
  295. Deciphering Latent Uncertainty Sources with Principal Component Analysis for Adaptive Robust Optimization
  296. Optimizing Return on Investment in Biomass Conversion Networks under Uncertainty Using Data-Driven Adaptive Robust Optimization
  297. Prediction of Cover Crop Adoption through Machine Learning Models using Satellite-derived Data
  298. Sustainable Design of Energy Systems by Integrating Life Cycle Optimization With Superstructure Optimization
  299. Repairing Automotive Dies With Directed Energy Deposition: Industrial Application and Life Cycle Analysis
  300. Sustainable Manufacturing With Cyber-Physical Discrete Manufacturing Networks: Overview and Modeling Framework
  301. Resilient Supply Chain Design and Operations with Decision-Dependent Uncertainty using A Data-Driven Robust Optimization Approach
  302. Operational optimization of industrial steam systems under uncertainty using data-driven adaptive robust optimization
  303. A Data-Driven Real-Time Irrigation Control Method Based on Model Predictive Control
  304. A Transformation-Proximal Bundle Algorithm for Solving Multistage Adaptive Robust Optimization Problems
  305. Chance Constrained Model Predictive Control via Active Uncertainty Set Learning and Calibration
  306. Data-driven distributionally robust optimization of shale gas supply chains under uncertainty
  307. Optimal design of water networks for shale gas hydraulic fracturing including economic and environmental criteria
  308. Multi-objective economic-resource-production optimization of sustainable organic mixed farming systems with nutrient recycling
  309. Global carbon intensity of crude oil production
  310. Resilient design and operations of process systems: Nonlinear adaptive robust optimization model and algorithm for resilience analysis and enhancement
  311. Dynamic Material Flow Analysis-Based Life Cycle Optimization Framework and Application to Sustainable Design of Shale Gas Energy Systems
  312. A projection-based reformulation and decomposition algorithm for global optimization of a class of mixed integer bilevel linear programs
  313. ACS Sustainable Chemistry & Engineering Virtual Special Issue on Systems Analysis, Design, and Optimization for Sustainability
  314. Data-Driven Adaptive Robust Optimization Framework Based on Principal Component Analysis
  315. Distributionally Robust Process Scheduling under Ambiguous Uncertainty
  316. Nonlinear Adaptive Robust Optimization Model and Algorithm for Resilience Analysis and Enhancement
  317. Operational Optimization of Shale Gas Processing under Feedstock Uncertainties with Updated Back-off Strategy
  318. A Stochastic Game Theoretic Framework for Decentralized Optimization of Multi-Stakeholder Supply Chains under Uncertainty
  319. Addressing global environmental impacts including land use change in life cycle optimization: Studies on biofuels
  320. Data-driven decision making under uncertainty integrating robust optimization with principal component analysis and kernel smoothing methods
  321. On-line simulation and optimization of a commercial-scale shell entrained-flow gasifier using a novel dynamic reduced order model
  322. Life cycle environmental and economic analysis of pulverized coal oxy-fuel combustion combining with calcium looping process or chemical looping air separation
  323. Systems Design, Modeling, and Thermoeconomic Analysis of Azeotropic Distillation Processes for Organic Waste Treatment and Recovery in Nylon Plants
  324. Data-driven stochastic robust optimization: General computational framework and algorithm leveraging machine learning for optimization under uncertainty in the big data era
  325. Systems modeling, simulation and analysis for robust operations and improved design of entrained-flow pulverized coal gasifiers
  326. Manufacturing Ethylene from Wet Shale Gas and Biomass: Comparative Technoeconomic Analysis and Environmental Life Cycle Assessment
  327. A Game Theory Approach to Design and Optimization of Decentralized Supply Chains under Uncertainty
  328. Adaptive robust optimization with minimax regret criterion: Multiobjective optimization framework and computational algorithm for planning and scheduling under uncertainty
  329. Data-Driven Process Network Planning: A Distributionally Robust Optimization Approach
  330. Including Agricultural and Organic Waste in Food-Water-Energy-Waste Nexus Modelling and Decision-Making
  331. Robust Optimization in High-Dimensional Data Space with Support Vector Clustering
  332. Integrated Hybrid Life Cycle Assessment and Optimization of Shale Gas
  333. Monetizing Shale Gas to Polymers under Mixed Uncertainty: Stochastic Modeling and Likelihood Analysis
  334. Distributionally Robust Optimization for Planning and Scheduling under Uncertainty
  335. Modeling framework and computational algorithm for hedging against uncertainty in sustainable supply chain design using functional-unit-based life cycle optimization
  336. Multicriteria Environmental and Economic Analysis of Municipal Solid Waste Incineration Power Plant with Carbon Capture and Separation from the Life-Cycle Perspective
  337. Data-driven robust optimization based on kernel learning
  338. Design and optimization of shale gas energy systems: Overview, research challenges, and future directions
  339. Systems engineering opportunities for agricultural and organic waste management in the food–water–energy nexus
  340. Can Modular Manufacturing Be the Next Game-Changer in Shale Gas Supply Chain Design and Operations for Economic and Environmental Sustainability?
  341. A systematic simulation-based process intensification method for shale gas processing and NGLs recovery process systems under uncertain feedstock compositions
  342. Modular methanol manufacturing from shale gas: Techno-economic and environmental analyses of conventional large-scale production versus small-scale distributed, modular processing
  343. A New Superstructure Optimization Paradigm for Process Synthesis with Product Distribution Optimization: Application to An Integrated Shale Gas Processing and Chemical Manufacturing Process
  344. Computational Screening of Nanoporous Materials for Hexane and Heptane Isomer Separation
  345. Consequential Life Cycle Optimization: General Conceptual Framework and Application to Algal Renewable Diesel Production
  346. A data-driven multistage adaptive robust optimization framework for planning and scheduling under uncertainty
  347. Leveraging big data for adaptive robust optimization of scheduling under uncertainty
  348. Data-driven adaptive nested robust optimization: General modeling framework and efficient computational algorithm for decision making under uncertainty
  349. Comparative Techno-Economic and Environmental Analysis of Ethylene and Propylene Manufacturing from Wet Shale Gas and Naphtha
  350. Economic and Environmental Life Cycle Optimization of Noncooperative Supply Chains and Product Systems: Modeling Framework, Mixed-Integer Bilevel Fractional Programming Algorithm, and Shale Gas Application
  351. Game theory approach to optimal design of shale gas supply chains with consideration of economics and life cycle greenhouse gas emissions
  352. Optimal Design of Energy Systems Involving Pollution Trading through Forest Plantations
  353. Addressing the Minimum Environmental Impacts of Algal Renewable Diesel Production from a Consequential Perspective
  354. Hedging Against Uncertain Feedstock Compositions in Shale Gas Processing System Designs with Intensified Equipment Capacities
  355. Hedging Against Uncertainty in Process Planning: A Data-Driven Adaptive Nested Robust Optimization Approach
  356. Introducing Green GDP as an Objective to Account for Changes in Global Ecosystem Services Due to Biofuel Production
  357. Life Cycle Optimisation from A Noncooperative Perspective: Game Theory-Based Models and Applications
  358. Optimal Global Land Use, Cultivation, Transportation, and Production Strategies to Minimise Life Cycle Greenhouse Gas Emissions of Ethanol
  359. Optimal design and operation of water supply chain networks using scenario-based dynamic negotiation and multiple negotiation terms
  360. Optimal synthesis of integrated process for co-production of biodiesel and hydrotreated vegetable oil (HVO) diesel from hybrid oil feedstocks
  361. Process Modeling and Analysis of Manufacturing Pathways for Producing Ethylene and Propylene from Wet Shale Gas and Naphtha
  362. When Robust Statistics Meets with Robust Optimization: Data-Driven Batch Process Scheduling in The Presence of Outliers
  363. Data-driven robust MILP model for scheduling of multipurpose batch processes under uncertainty
  364. In silico discovery of metal-organic frameworks for precombustion CO2 capture using a genetic algorithm
  365. Stackelberg-game-based modeling and optimization for supply chain design and operations: A mixed integer bilevel programming framework
  366. Optimal processing network design under uncertainty for producing fuels and value‐added bioproducts from microalgae: Two‐stage adaptive robust mixed integer fractional programming model and computationally efficient solution algorithm
  367. Energy optimization of water supply system scheduling: Novel MINLP model and efficient global optimization algorithm
  368. Unraveling Optimal Biomass Processing Routes from Bioconversion Product and Process Networks under Uncertainty: An Adaptive Robust Optimization Approach
  369. Optimal supply chain design and operations under multi‐scale uncertainties: Nested stochastic robust optimization modeling framework and solution algorithm
  370. A computationally efficient simulation-based optimization method with region-wise surrogate modeling for stochastic inventory management of supply chains with general network structures
  371. Thermal and economic analysis of an energy system of an ORC coupled with vehicle air conditioning
  372. The water-energy-food nexus and process systems engineering: A new focus
  373. Integrating Hybrid Life Cycle Assessment with Multiobjective Optimization: A Modeling Framework
  374. Deciphering the true life cycle environmental impacts and costs of the mega-scale shale gas-to-olefins projects in the United States
  375. Risk Management of Shale Gas Supply Chain under Estimated Ultimate Recovery Uncertainty
  376. Optimization of Two-Stage Pressure/Vacuum Swing Adsorption with Variable Dehydration Level for Postcombustion Carbon Capture
  377. Model-based integration of control and operations: Overview, challenges, advances, and opportunities
  378. Adaptive surrogate-based algorithm for integrated scheduling and dynamic optimization of sequential batch processes
  379. Stochastic programming approach to optimal design and operations of shale gas supply chain under uncertainty
  380. Sustainable design and synthesis of energy systems
  381. A computational framework and solution algorithms for two-stage adaptive robust scheduling of batch manufacturing processes under uncertainty
  382. Supply chain design and optimization: Challenges and opportunities
  383. Deciphering and handling uncertainty in shale gas supply chain design and optimization: Novel modeling framework and computationally efficient solution algorithm
  384. A novel adaptive surrogate modeling-based algorithm for simultaneous optimization of sequential batch process scheduling and dynamic operations
  385. Network-Based Life Cycle Optimization of the Net Atmospheric CO 2 -eq Ratio (NACR) of Fuels and Chemicals Production from Biomass
  386. Life Cycle Network Modeling Framework and Solution Algorithms for Systems Analysis and Optimization of the Water-Energy Nexus
  387. Shale Gas Supply Chain Design and Operations toward Better Economic and Life Cycle Environmental Performance: MINLP Model and Global Optimization Algorithm
  388. Robust optimization for integrated scheduling of sequential batch processes with dynamics
  389. Integrated planning, scheduling, and dynamic optimization for sequential batch processes
  390. Fast optimization algorithms for large-scale mixed-integer linear fractional programming problems
  391. Bilevel programming approach for manufacturing facility investment optimization with non-cooperative suppliers and customers
  392. An efficient global optimization algorithm for mixed-integer nonlinear fractional programs with separable concave terms
  393. A fast simulation-based optimization method for inventory control of general supply chain networks under uncertainty
  394. Synergies between Geological Sequestration and Microalgae Biofixation for Greenhouse Gas Abatement: Life Cycle Design of Carbon Capture, Utilization, and Storage Supply Chains
  395. Corrections and Additions to “Shale Gas Processing Integrated with Ethylene Production: Novel Process Designs, Exergy Analysis, and Techno-Economic Analysis”
  396. Novel Optimization Model and Efficient Solution Method for Integrating Dynamic Optimization with Process Operations of Continuous Manufacturing Processes
  397. Simulation-based optimization framework for multi-echelon inventory systems under uncertainty
  398. Value-Added Chemicals from Microalgae: Greener, More Economical, or Both?
  399. Perovskite photovoltaics: life-cycle assessment of energy and environmental impacts
  400. Integrated planning and scheduling under production uncertainties: Bi-level model formulation and hybrid solution method
  401. Preface
  402. Value-added Chemicals from Microalgae: A Sustainable Process Design Using Life Cycle Optimization
  403. Product and Process Network Modeling and Pathway Optimization with Life Cycle Functional Unit Analysis: The Case of Biofuels
  404. Process Design and Optimization of an Integrated Shale Gas Process for Green Chemicals Production
  405. Optimization of Pressure/Vacuum Swing Adsorption with Variable Dehydration Levels for Post Combustion Carbon Capture
  406. Mixed-Integer Fractional Programming: Models, Algorithms, and Applications in Process Operations, Energy Systems, and Sustainability
  407. Chapter 12. Design and Planning of Sustainable Supply Chains for Biobased Products
  408. Toward more cost-effective and greener chemicals production from shale gas by integrating with bioethanol dehydration: Novel process design and simulation-based optimization
  409. Optimal design and operations of supply chain networks for water management in shale gas production: MILFP model and algorithms for the water-energy nexus
  410. Integrated planning and scheduling by hybrid solution method
  411. Simulation-based optimization for multi-echelon inventory systems under uncertainty
  412. Agent-based method for solving competitive biorefinery network design problem
  413. Optimization of water management in shale gas production process
  414. Integrated planning, scheduling, and dynamic optimization for continuous processes
  415. Simulation-based method for optimizing multi-echelon inventory systems
  416. Game-theoretic modeling and optimization of multi-echelon supply chain design and operation under Stackelberg game and market equilibrium
  417. Multiobjective optimization of product and process networks: General modeling framework, efficient global optimization algorithm, and case studies on bioconversion
  418. Biorefinery Supply Chain Network Design under Competitive Feedstock Markets: An Agent-Based Simulation and Optimization Approach
  419. Corrigendum to “Domestic and overseas manufacturing scenarios of silicon-based photovoltaics: Life cycle energy and environmental comparative analysis” [Solar Energy 105 (2014) 669–678]
  420. Robust design and operations of hydrocarbon biofuel supply chain integrating with existing petroleum refineries considering unit cost objective
  421. Integrated Planning, Scheduling, and Dynamic Optimization for Batch Processes: MINLP Model Formulation and Efficient Solution Methods via Surrogate Modeling
  422. A novel hybrid feedstock to liquids and electricity process: Process modeling and exergoeconomic life cycle optimization
  423. Shale Gas Processing Integrated with Ethylene Production: Novel Process Designs, Exergy Analysis, and Techno-Economic Analysis
  424. Biomass-to-bioenergy and biofuel supply chain optimization: Overview, key issues and challenges
  425. Domestic and overseas manufacturing scenarios of silicon-based photovoltaics: Life cycle energy and environmental comparative analysis
  426. Plant Location: Supply Chain Management
  427. Optimal Design and Operational Planning of Responsive Process Supply Chains
  428. Global optimization for sustainable design and synthesis of algae processing network for CO2mitigation and biofuel production using life cycle optimization
  429. Fair profit allocation in supply chain optimization with transfer price and revenue sharing: MINLP model and algorithm for cellulosic biofuel supply chains
  430. Integrated scheduling and dynamic optimization of network batch processes
  431. Integration of scheduling and dynamic optimization of batch processes under uncertainty
  432. Moving-horizon method for integrating scheduling and control
  433. Hybrid agent-based method for scheduling of complex batch processes
  434. Parametric algorithms for global optimization of mixed-integer fractional programming problems in process engineering
  435. Computational evaluation of factors governing catalytic 2-keto acid decarboxylation
  436. Integrated Scheduling and Dynamic Optimization by Stackelberg Game: Bilevel Model Formulation and Efficient Solution Algorithm
  437. Sustainable Design and Operation of Cellulosic Bioelectricity Supply Chain Networks with Life Cycle Economic, Environmental, and Social Optimization
  438. Globally convergent exact and inexact parametric algorithms for solving large-scale mixed-integer fractional programs and applications in process systems engineering
  439. Optimal Design and Synthesis of Algal Biorefinery Processes for Biological Carbon Sequestration and Utilization with Zero Direct Greenhouse Gas Emissions: MINLP Model and Global Optimization Algorithm
  440. Moving horizon approach of integrating scheduling and control for sequential batch processes
  441. Sustainable process design and synthesis of hydrocarbon biorefinery through fast pyrolysis and hydroprocessing
  442. Stochastic Programming Approach to Optimal Design and Operations of Integrated Hydrocarbon Biofuel and Petroleum Supply Chains
  443. Hybrid method integrating agent-based modeling and heuristic tree search for scheduling of complex batch processes
  444. MINLP model and algorithm for superstructure optimization of algae processing network
  445. Making transportation fuels and electricity from non-petroleum-based hybrid processes: process design and optimization
  446. Functional-unit-based Life Cycle Optimization for Design of Sustainable Product Systems with Application on Biofuel Supply Chains
  447. Sustainable Design and Synthesis of Algal Biorefinery for Biofuel Production
  448. Reformulation-linearization Method for Global Optimization of Mixed Integer Linear Fractional Programming Problems with Application on Sustainable Batch Scheduling
  449. Optimal Superstructure-Based Design and Synthesis of Hydrocarbon Biorefinery via Fast Pyrolysis, Hydrogen Production and Hydroprocessing Pathway
  450. Parametric Solution Algorithms for Large-Scale Mixed-Integer Fractional Programming Problems and Applications in Process Systems Engineering
  451. Optimal design of advanced drop-in hydrocarbon biofuel supply chain integrating with existing petroleum refineries under uncertainty
  452. Functional-unit-based life cycle optimization of sustainable biomass-to-electricity supply chain with economic and environmental tradeoffs
  453. Integrated Scheduling and Dynamic Optimization for Network Batch Processes
  454. Integration of Scheduling and Dynamic Optimization of Batch Processes under Uncertainty: Two-Stage Stochastic Programming Approach and Enhanced Generalized Benders Decomposition Algorithm
  455. Integration of production scheduling and dynamic optimization for multi-product CSTRs: Generalized Benders decomposition coupled with global mixed-integer fractional programming
  456. Design of Sustainable Product Systems and Supply Chains with Life Cycle Optimization Based on Functional Unit: General Modeling Framework, Mixed-Integer Nonlinear Programming Algorithms and Case Study on Hydrocarbon Biofuels
  457. Global optimization of large-scale mixed-integer linear fractional programming problems: A reformulation-linearization method and process scheduling applications
  458. Sustainable scheduling of batch processes under economic and environmental criteria with MINLP models and algorithms
  459. Integrated Scheduling and Dynamic Optimization of Complex Batch Processes with General Network Structure Using a Generalized Benders Decomposition Approach
  460. Integration of scheduling and dynamic optimization for sequential batch processes
  461. Integration of planning, scheduling and stochastic inventory under uncertainty for flexible process networks
  462. Decomposition method for solving integrated problem of cyclic scheduling and PI controller design
  463. A reformulation-linearization method for the global optimization of large-scale mixed-integer linear fractional programming problems and cyclic scheduling application
  464. Sustainable design and synthesis of hydrocarbon biorefinery via gasification pathway: Integrated life cycle assessment and technoeconomic analysis with multiobjective superstructure optimization
  465. Efficient scheduling method of complex batch processes with general network structure via agent-based modeling
  466. Sustainable design and synthesis of algae-based biorefinery for simultaneous hydrocarbon biofuel production and carbon sequestration
  467. Life cycle optimization for sustainable design and operations of hydrocarbon biorefinery via fast pyrolysis, hydrotreating and hydrocracking
  468. Integrated Scheduling and Dynamic Optimization of Sequential Batch Processes with Online Implementation
  469. The case for organic photovoltaics
  470. Life Cycle Energy, Environmental and Economic Comparative Analysis of CdTe Thin-film Photovoltaics Domestic and Overseas Manufacturing Scenarios
  471. Integrated scheduling and control of a polymerization reactor with online closed-loop implementation
  472. Design of Biofuel Supply Chains under Uncertainty with Multiobjective Stochastic Programming Models and Decomposition Algorithm
  473. Real-time scheduling of batch processes via agent-based modeling
  474. Online integration of scheduling and control for cyclic production in CSTR
  475. Multiobjective optimization of hydrocarbon biorefinery supply chain designs under uncertainty
  476. Addressing the operational challenges in the development, manufacture, and supply of advanced materials and performance products
  477. Integration of scheduling and control with online closed-loop implementation: Fast computational strategy and large-scale global optimization algorithm
  478. Planning and scheduling of flexible process networks under uncertainty with stochastic inventory: MINLP models and algorithm
  479. Design under uncertainty of hydrocarbon biorefinery supply chains: Multiobjective stochastic programming models, decomposition algorithm, and a Comparison between CVaR and downside risk
  480. Deciphering the uncertainties in life cycle energy and environmental analysis of organic photovoltaics
  481. Multicut Benders decomposition algorithm for process supply chain planning under uncertainty
  482. Life Cycle Optimization of Biomass-to-Liquid Supply Chains with Distributed–Centralized Processing Networks
  483. Oil spill response planning with consideration of physicochemical evolution of the oil slick: A multiobjective optimization approach
  484. Optimal Design and Operational Planning of Responsive Process Supply Chains
  485. Multisite Capacity, Production, and Distribution Planning with Reactor Modifications: MILP Model, Bilevel Decomposition Algorithm versus Lagrangean Decomposition Scheme
  486. Optimal design of sustainable cellulosic biofuel supply chains: Multiobjective optimization coupled with life cycle assessment and input-output analysis
  487. Mixed-integer dynamic optimization for oil-spill response planning with integration of a dynamic oil weathering model
  488. Optimal Distribution-Inventory Planning of Industrial Gases. II. MINLP Models and Algorithms for Stochastic Cases
  489. Optimal Distribution-Inventory Planning of Industrial Gases. I. Fast Computational Strategies for Large-Scale Problems
  490. Assumptions and the levelized cost of energy for photovoltaics
  491. Stochastic inventory management for tactical process planning under uncertainties: MINLP models and algorithms
  492. Balancing responsiveness and economics in process supply chain design with multi-echelon stochastic inventory
  493. Dinkelbach's algorithm as an efficient method to solve a class of MINLP models for large-scale cyclic scheduling problems
  494. Risk management for a global supply chain planning under uncertainty: Models and algorithms
  495. Integrated multi-echelon supply chain design with inventories under uncertainty: MINLP models, computational strategies
  496. Optimal Design of Large-Scale Supply Chain with Multi-Echelon Inventory and Risk Pooling under Demand Uncertainty
  497. MINLP Model and Algorithms for Optimal Design of Large-Scale Supply Chain with Multi-Echelon Inventory and Risk Pooling Under Demand Uncertainty
  498. Design of responsive supply chains under demand uncertainty
  499. Mixed-Integer Nonlinear Programming Models and Algorithms for Large-Scale Supply Chain Design with Stochastic Inventory Management
  500. Structure and Adsorption of A Hard-Core Multi-Yukawa Fluid Confined in A Slitlike Pore:  Grand Canonical Monte Carlo Simulation and Density Functional Study
  501. Density functional for structures of colloids confined in a slit-like pore
  502. Structures and adsorption of binary hard-core Yukawa mixtures in a slitlike pore: Grand canonical Monte Carlo simulation and density-functional study
  503. Structure of Inhomogeneous Attractive and Repulsive Hard-Core Yukawa Fluid:  Grand Canonical Monte Carlo Simulation and Density Functional Theory Study
  504. A Self-Consistent Theory for the Inter- and Intramolecular Correlation Functions of a Hard-Sphere-Yukawa-Chain Fluids