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Wavelet Scattering Networks for Atomistic Systems with Extrapolation of
  Material Properties
v1v2 (latest)

Wavelet Scattering Networks for Atomistic Systems with Extrapolation of Material Properties

1 June 2020
Paul Sinz
M. Swift
Xavier Brumwell
Jialin Liu
K. Kim
Y. Qi
M. Hirn
ArXiv (abs)PDFHTML

Papers citing "Wavelet Scattering Networks for Atomistic Systems with Extrapolation of Material Properties"

14 / 14 papers shown
Title
Machine learning for molecular simulation
Machine learning for molecular simulation
Frank Noé
A. Tkatchenko
K. Müller
C. Clementi
AI4CE
80
665
0
07 Nov 2019
Steerable Wavelet Scattering for 3D Atomic Systems with Application to
  Li-Si Energy Prediction
Steerable Wavelet Scattering for 3D Atomic Systems with Application to Li-Si Energy Prediction
Xavier Brumwell
Paul Sinz
K. Kim
Y. Qi
M. Hirn
46
8
0
21 Nov 2018
Solid Harmonic Wavelet Scattering for Predictions of Molecule Properties
Solid Harmonic Wavelet Scattering for Predictions of Molecule Properties
Michael Eickenberg
Georgios Exarchakis
M. Hirn
S. Mallat
L. Thiry
62
70
0
01 May 2018
A high-bias, low-variance introduction to Machine Learning for
  physicists
A high-bias, low-variance introduction to Machine Learning for physicists
Pankaj Mehta
Marin Bukov
Ching-Hao Wang
A. G. Day
C. Richardson
Charles K. Fisher
D. Schwab
AI4CE
111
879
0
23 Mar 2018
Tensor field networks: Rotation- and translation-equivariant neural
  networks for 3D point clouds
Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds
Nathaniel Thomas
Tess E. Smidt
S. Kearnes
Lusann Yang
Li Li
Kai Kohlhoff
Patrick F. Riley
3DPC
105
979
0
22 Feb 2018
Deep Potential Molecular Dynamics: a scalable model with the accuracy of
  quantum mechanics
Deep Potential Molecular Dynamics: a scalable model with the accuracy of quantum mechanics
Linfeng Zhang
Jiequn Han
Han Wang
R. Car
E. Weinan
72
1,158
0
30 Jul 2017
SchNet: A continuous-filter convolutional neural network for modeling
  quantum interactions
SchNet: A continuous-filter convolutional neural network for modeling quantum interactions
Kristof T. Schütt
Pieter-Jan Kindermans
Huziel Enoc Sauceda Felix
Stefan Chmiela
A. Tkatchenko
K. Müller
157
1,087
0
26 Jun 2017
Neural Message Passing for Quantum Chemistry
Neural Message Passing for Quantum Chemistry
Justin Gilmer
S. Schoenholz
Patrick F. Riley
Oriol Vinyals
George E. Dahl
598
7,500
0
04 Apr 2017
Survey of the State of the Art in Natural Language Generation: Core
  tasks, applications and evaluation
Survey of the State of the Art in Natural Language Generation: Core tasks, applications and evaluation
Albert Gatt
E. Krahmer
LM&MAELM
136
828
0
29 Mar 2017
Google's Multilingual Neural Machine Translation System: Enabling
  Zero-Shot Translation
Google's Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation
Melvin Johnson
M. Schuster
Quoc V. Le
M. Krikun
Yonghui Wu
...
F. Viégas
Martin Wattenberg
Gregory S. Corrado
Macduff Hughes
Jeffrey Dean
131
2,096
0
14 Nov 2016
By-passing the Kohn-Sham equations with machine learning
By-passing the Kohn-Sham equations with machine learning
Felix Brockherde
Leslie Vogt
Li Li
M. Tuckerman
K. Burke
K. Müller
AI4CE
80
607
0
09 Sep 2016
Wavelet Scattering Regression of Quantum Chemical Energies
Wavelet Scattering Regression of Quantum Chemical Energies
M. Hirn
S. Mallat
N. Poilvert
61
95
0
16 May 2016
Fast and Accurate Modeling of Molecular Atomization Energies with
  Machine Learning
Fast and Accurate Modeling of Molecular Atomization Energies with Machine Learning
M. Rupp
A. Tkatchenko
K. Müller
O. A. von Lilienfeld
AI4CE
203
1,592
0
12 Sep 2011
Group Invariant Scattering
Group Invariant Scattering
S. Mallat
126
993
0
12 Jan 2011
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