Solving Newton's Equations of Motion with Large Timesteps using
Recurrent Neural Networks based Operators

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Solving Newton's Equations of Motion with Large Timesteps using Recurrent Neural Networks based Operators

12 April 2020

Geoffrey C. Fox

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Papers citing "Solving Newton's Equations of Motion with Large Timesteps using Recurrent Neural Networks based Operators"

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Title
FlashMD: long-stride, universal prediction of molecular dynamics Filippo Bigi Sanggyu Chong Agustinus Kristiadi Michele Ceriotti AI4CE 50 1 0 25 May 2025
Force-Free Molecular Dynamics Through Autoregressive Equivariant Networks Fabian L. Thiemann Thiago Reschützegger Massimiliano Esposito Tseden Taddese Juan D. Olarte-Plata Fausto Martelli AI4CE 125 1 0 31 Mar 2025
Machine learning for advancing low-temperature plasma modeling and simulation J. Trieschmann Luca Vialetto T. Gergs AI4CE 55 6 0 30 Jun 2023
Neural DAEs: Constrained neural networks Tue Boesen E. Haber Uri M. Ascher 103 4 0 25 Nov 2022
Exact conservation laws for neural network integrators of dynamical systems E. Müller PINN 110 14 0 23 Sep 2022
Locally-symplectic neural networks for learning volume-preserving dynamics J. Bajārs 67 11 0 19 Sep 2021