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Molecular Dipole Moment Learning via Rotationally Equivariant Gaussian
  Process Regression with Derivatives in Molecular-orbital-based Machine
  Learning

Molecular Dipole Moment Learning via Rotationally Equivariant Gaussian Process Regression with Derivatives in Molecular-orbital-based Machine Learning

31 May 2022
Jiace Sun
Lixue Cheng
Thomas F. Miller
ArXivPDFHTML

Papers citing "Molecular Dipole Moment Learning via Rotationally Equivariant Gaussian Process Regression with Derivatives in Molecular-orbital-based Machine Learning"

3 / 3 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
18
3
0
20 Sep 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
147
446
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
166
1,775
0
02 Mar 2017
1