What is it about?
The paper talk about the performance and accuracy of artificial intelligence to predict the dimensions of CNTs.
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Why is it important?
This is important for audiences because of they can use it to tune their desired CNTs' diameter before synthesis. It will significantly reduce the price and time of synthesis, so it is of interest to industries for next-generation displays.
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This page is a summary of: Predicting Carbon Nanotube Diameter Using Artificial Neural Network Along with Characterization and Field Emission Measurement, Iranian Journal of Science and Technology Transactions A Science, March 2017, Springer Science + Business Media,
DOI: 10.1007/s40995-017-0198-9.
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