Hybridizing Physical and Data-driven Prediction Methods for Physicochemical Properties

17 February 2022

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 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 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 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 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 Jan-Tobias Sohns M. Schmitt Fabian Jirasek Hans Hasse Heike Leitte 65 15 0 28 Jul 2021