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Typical Scientific Tasks

typical_scientific_tasks

PINN

Physics-Informed Neural Networks

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Digital Twin

Digital_Twin

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Physics’ Properties Preferred in Machine Learning

  • Interpretability

  • Generalizability

  • Parsimony/Simplicity

  • Symmetries/Conservations

  • Invariance: \((f \circ g)(x) = f(x)\)

  • Equivariance: \((f \circ g)(x) = (g \circ f)(x)\)

where

  • \(f\) is deep learning model
  • \(g\) is a transformation such as rotation
Last Updated: 2024-05-12 ; Contributors: AhmedThahir

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