Mastering high-dimensional dynamics with Hamiltonian neural networks

28 July 2020

Papers citing "Mastering high-dimensional dynamics with Hamiltonian neural networks"

5 / 5 papers shown

Title
Port-metriplectic neural networks: thermodynamics-informed machine learning of complex physical systems Quercus Hernandez Alberto Badías Francisco Chinesta Elías Cueto PINN AI4CE 98 13 0 03 Nov 2022
Thermodynamics of learning physical phenomena Elías Cueto Francisco Chinesta AI4CE 84 22 0 26 Jul 2022
Neuronal diversity can improve machine learning for physics and beyond A. Choudhary Anil Radhakrishnan J. Lindner S. Sinha W. Ditto AI4CE 26 4 0 09 Apr 2022
Forecasting Hamiltonian dynamics without canonical coordinates A. Choudhary J. Lindner Elliott G. Holliday Scott T. Miller S. Sinha W. Ditto 63 26 0 28 Oct 2020
Machine Learning a Molecular Hamiltonian for Predicting Electron Dynamics Harish S. Bhat Karnamohit Ranka Christine M Isborn 43 12 0 19 Jul 2020