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Predicting molecular dipole moments by combining atomic partial charges
  and atomic dipoles

Predicting molecular dipole moments by combining atomic partial charges and atomic dipoles

27 March 2020
M. Veit
D. Wilkins
Yang Yang
R. DiStasio
Michele Ceriotti
ArXivPDFHTML

Papers citing "Predicting molecular dipole moments by combining atomic partial charges and atomic dipoles"

3 / 3 papers shown
Title
Feature Optimization for Atomistic Machine Learning Yields A Data-Driven
  Construction of the Periodic Table of the Elements
Feature Optimization for Atomistic Machine Learning Yields A Data-Driven Construction of the Periodic Table of the Elements
M. J. Willatt
Félix Musil
Michele Ceriotti
25
50
0
30 Jun 2018
Machine Learning Molecular Dynamics for the Simulation of Infrared
  Spectra
Machine Learning Molecular Dynamics for the Simulation of Infrared Spectra
M. Gastegger
J. Behler
P. Marquetand
AI4CE
23
334
0
16 May 2017
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
120
1,581
0
12 Sep 2011
1