3 papers
physics.chem-ph2026
Competing Ring-Opening and Hofmann Elimination Pathways in Aqueous TEMPO Catholytes: A First-Principles Study
Line Mouaffac, Maiwenn Souetre, Guillaume Jeanmairet +1
Aqueous redox-flow batteries based on TEMPO derivatives are promising for large-scale energy storage, but their practical use is limited by the chemical instability of the oxidized…
cond-mat.mtrl-sci2025
Learning the Electrostatic Response of the Electron Density through a Symmetry-Adapted Vector Field Model
Mariana Rossi, Kevin Rossi, Alan M. Lewis +2
A current challenge in atomistic machine learning is that of efficiently predicting the response of the electron density under electric fields. We address this challenge with symme…
cond-mat.mtrl-sci2024
Accelerating QM/MM simulations of electrochemical interfaces through machine learning of electronic charge densities
Andrea Grisafi, Mathieu Salanne
A crucial aspect in the simulation of electrochemical interfaces consists in treating the distribution of electronic charge of electrode materials that are put in contact with an e…