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Hybridizing Physical and Data-driven Prediction Methods for Physicochemical Properties

Hybridizing Physical and Data-driven Prediction Methods for Physicochemical Properties

Fabian Jirasek
Robert Bamler
Stephan Mandt
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Papers citing "Hybridizing Physical and Data-driven Prediction Methods for Physicochemical Properties"

5 / 5 papers shown
Title
Hierarchical Matrix Completion for the Prediction of Properties of Binary Mixtures
Hierarchical Matrix Completion for the Prediction of Properties of Binary Mixtures
Dominik Gond
Jan-Tobias Sohns
Heike Leitte
Hans Hasse
Fabian Jirasek
AI4CE
45
0
0
08 Oct 2024
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
Johannes Zenn
Dominik Gond
Fabian Jirasek
Robert Bamler
47
2
0
12 Jun 2024
Differentiable Modeling and Optimization of Battery Electrolyte Mixtures Using Geometric Deep Learning
Differentiable Modeling and Optimization of Battery Electrolyte Mixtures Using Geometric Deep Learning
Shang Zhu
Bharath Ramsundar
Emil Annevelink
Hongyi Lin
Adarsh Dave
Pin-Wen Guan
Kevin Gering
Venkat Viswanathan
119
1
0
03 Oct 2023
Gibbs-Helmholtz Graph Neural Network: capturing the temperature dependency of activity coefficients at infinite dilution
Gibbs-Helmholtz Graph Neural Network: capturing the temperature dependency of activity coefficients at infinite dilution
E. Medina
S. Linke
Martin Stoll
K. Sundmacher
87
11
0
02 Dec 2022
Attribute-based Explanations of Non-Linear Embeddings of High-Dimensional Data
Attribute-based Explanations of Non-Linear Embeddings of High-Dimensional Data
Jan-Tobias Sohns
M. Schmitt
Fabian Jirasek
Hans Hasse
Heike Leitte
65
15
0
28 Jul 2021