Hybridizing Physical and Data-driven Prediction Methods for Physicochemical Properties

Chemical Communications (ChemComm), 2020

17 February 2022

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Papers citing "Hybridizing Physical and Data-driven Prediction Methods for Physicochemical Properties"

6 / 6 papers shown

Geometric Mixture Models for Electrolyte Conductivity Prediction

240

17 Oct 2025

Hierarchical Matrix Completion for the Prediction of Properties of Binary Mixtures

265

08 Oct 2024

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

187

12 Jun 2024

Differentiable Modeling and Optimization of Battery Electrolyte Mixtures Using Geometric Deep Learning

425

03 Oct 2023

Gibbs-Helmholtz Graph Neural Network: capturing the temperature dependency of activity coefficients at infinite dilutionDigital Discovery (DD), 2022

337

02 Dec 2022

Attribute-based Explanations of Non-Linear Embeddings of High-Dimensional DataIEEE Transactions on Visualization and Computer Graphics (TVCG), 2021

185

28 Jul 2021