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Learning ground states of quantum Hamiltonians with graph networks

Learning ground states of quantum Hamiltonians with graph networks

12 October 2021
Dmitrii Kochkov
Tobias Pfaff
Alvaro Sanchez-Gonzalez
Peter W. Battaglia
B. Clark
ArXivPDFHTML

Papers citing "Learning ground states of quantum Hamiltonians with graph networks"

4 / 4 papers shown
Title
Enhancing the Scalability and Applicability of Kohn-Sham Hamiltonians for Molecular Systems
Enhancing the Scalability and Applicability of Kohn-Sham Hamiltonians for Molecular Systems
Yunyang Li
Zaishuo Xia
Lin Huang
Xinran Wei
Han Yang
...
Zun Wang
Chang-Shu Liu
Jia Zhang
Bin Shao
Mark B. Gerstein
68
0
0
26 Feb 2025
Port-metriplectic neural networks: thermodynamics-informed machine
  learning of complex physical systems
Port-metriplectic neural networks: thermodynamics-informed machine learning of complex physical systems
Quercus Hernandez
Alberto Badías
Francisco Chinesta
Elías Cueto
PINN
AI4CE
23
13
0
03 Nov 2022
MultiScale MeshGraphNets
MultiScale MeshGraphNets
Meire Fortunato
Tobias Pfaff
Peter Wirnsberger
Alexander Pritzel
Peter W. Battaglia
AI4CE
17
68
0
02 Oct 2022
Deep neural network solution of the electronic Schrödinger equation
Deep neural network solution of the electronic Schrödinger equation
J. Hermann
Zeno Schätzle
Frank Noé
144
444
0
16 Sep 2019
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