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AI4Sci

topic about AI for Science

Paper List

Physics

Review

  • Machine learning and the physical sciences

  • A high-bias, low-variance introduction to Machine Learning for physicists

  • Machine Learning Mathematical Theory and Scientific Applications

Quantum

  • Ab-Initio Solution of the Many-Electron Schr ̀ˆodinger Equation with Deep NeuralNetworks

  • Better, Faster Fermionic Neural Networks_DeepMind

  • Solving the Quantum Many-Body Problem with Artificial Neural Networks

  • Breaking Adiabatic Quantum Control with Deep Learning

  • Faster State Preparation across Quantum Phase Transition Assisted by ReinforcementLearning

  • Quantum-Inspired Hamiltonian Monte Carlo for Bayesian Sampling

Others

  • Nanophotonic particle simulation and inverse designusing artificial neural networks

  • AI Feynman a Physics-Inspired Method for Symbolic Regression

  • AI Feynman 2.0 Pareto-optimal symbolic regressionexploiting graph modularity

  • Discovering Physical Concepts with Neural Networks

math

  • [Learning and Learning to Solve PDEs_Dong](papers/Learning and Learning to Solve PDEs.pdf)

  • PDE-Net Learning PDEs from Data

  • PDE-NET 2.0: LEARNING PDES FROM DATA WITH A NUMERIC-SYMBOLIC HYBRID DEEP NETWORK

  • Neural Ordinary Differential Equations

  • DGM A deep learning algorithm for solving partial differentialequations

  • DEEPXDE A DEEP LEARNING LIBRARY FOR SOLVINGDIFFERENTIAL EQUATIONS

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topic about AI for Science