New AI Models for Solving Hamiltonian Mechanics - From Operator Theory to Neural Networks

New AI Models for Solving Hamiltonian Mechanics - From Operator Theory to Neural Networks

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Evaluation and results

5 of 9

5 of 9

Evaluation and results

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Classroom Contents

New AI Models for Solving Hamiltonian Mechanics - From Operator Theory to Neural Networks

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  1. 1 AI to understand Hamiltonian Equations
  2. 2 New AI Models
  3. 3 Mathematical Guide to Operator theory
  4. 4 Gaussian Random Fields and B-Splines
  5. 5 Evaluation and results
  6. 6 Physics without diff equations
  7. 7 What AI is missing
  8. 8 Fundamental symmetries in Phase space
  9. 9 Poisson brackets and Quantum Commutators

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