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Molecular-orbital-based Machine Learning for Open-shell and
  Multi-reference Systems with Kernel Addition Gaussian Process Regression

Molecular-orbital-based Machine Learning for Open-shell and Multi-reference Systems with Kernel Addition Gaussian Process Regression

17 July 2022
Lixue Cheng
Jiace Sun
J. E. Deustua
Vignesh C. Bhethanabotla
Thomas F. Miller
ArXivPDFHTML

Papers citing "Molecular-orbital-based Machine Learning for Open-shell and Multi-reference Systems with Kernel Addition Gaussian Process Regression"

4 / 4 papers shown
Title
Molecular Energy Learning Using Alternative Blackbox Matrix-Matrix
  Multiplication Algorithm for Exact Gaussian Process
Molecular Energy Learning Using Alternative Blackbox Matrix-Matrix Multiplication Algorithm for Exact Gaussian Process
Jiace Sun
Lixue Cheng
Thomas F. Miller
34
3
0
20 Sep 2021
SpookyNet: Learning Force Fields with Electronic Degrees of Freedom and
  Nonlocal Effects
SpookyNet: Learning Force Fields with Electronic Degrees of Freedom and Nonlocal Effects
Oliver T. Unke
Stefan Chmiela
M. Gastegger
Kristof T. Schütt
H. E. Sauceda
K. Müller
177
247
0
01 May 2021
Deep neural network solution of the electronic Schrödinger equation
Deep neural network solution of the electronic Schrödinger equation
J. Hermann
Zeno Schätzle
Frank Noé
149
448
0
16 Sep 2019
MoleculeNet: A Benchmark for Molecular Machine Learning
MoleculeNet: A Benchmark for Molecular Machine Learning
Zhenqin Wu
Bharath Ramsundar
Evan N. Feinberg
Joseph Gomes
C. Geniesse
Aneesh S. Pappu
K. Leswing
Vijay S. Pande
OOD
222
1,780
0
02 Mar 2017
1