All Stories

  1. Estimating predictability of a dynamical system from multiple samples of its evolution

    Article • Chaos An Interdisciplinary Journal of Nonlinear Science, January 2023, American Institute of Physics

    Dmitry Mukhin

  2. Revealing recurrent regimes of mid-latitude atmospheric variability using novel machine learning method

    Article • Chaos An Interdisciplinary Journal of Nonlinear Science, November 2022, American Institute of Physics

    Dmitry Mukhin, Dr Norbert Marwan

  3. Overcoming the spring predictability barrier of ENSO

    Article • Geophysical Research Letters, March 2021, American Geophysical Union (AGU)

    Dmitry Mukhin

  4. Bayesian framework for simulation of dynamical systems from multidimensional data using recurrent neural network

    Article • Chaos An Interdisciplinary Journal of Nonlinear Science, December 2019, American Institute of Physics

    Dmitry Mukhin