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1 results

  • 17 - Merging of Machine Learning and Physics

  • William W. Hsieh, University of British Columbia, Vancouver
  • Book:
    Introduction to Environmental Data Science
    Published online:
    23 March 2023
    Print publication:
    23 March 2023, pp 549-568

  • Summary

    Three areas where machine learning (ML) and physics have been merging: (a) Physical models can have computationally expensive components replaced by inexpensive ML models, giving rise to hybrid models. (b) In physics-informed machine learning, ML models can be solved satisfying the laws of physics (e.g. conservation of energy, mass, etc.) either approximately or exactly. (c) In forecasting, ML models can be combined with numerical/dynamical models under data assimilation.