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Balancing Molecular Information and Empirical Data in the Prediction of
  Physico-Chemical Properties

Balancing Molecular Information and Empirical Data in the Prediction of Physico-Chemical Properties

12 June 2024
Johannes Zenn
Dominik Gond
Fabian Jirasek
Robert Bamler
ArXivPDFHTML

Papers citing "Balancing Molecular Information and Empirical Data in the Prediction of Physico-Chemical Properties"

2 / 2 papers shown
Title
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
M. Bronstein
Joan Bruna
Taco S. Cohen
Petar Velivcković
GNN
176
1,111
0
27 Apr 2021
Machine Learning in Thermodynamics: Prediction of Activity Coefficients
  by Matrix Completion
Machine Learning in Thermodynamics: Prediction of Activity Coefficients by Matrix Completion
Fabian Jirasek
Rodrigo Alves
J. Damay
Robert A. Vandermeulen
Robert Bamler
Michael Bortz
Stephan Mandt
Marius Kloft
Hans Hasse
168
68
0
29 Jan 2020
1