1 citations · 1 across the 1 of their papers we have counts for
2 papers
physics.chem-ph2025
Machine Learning Interatomic Potentials: library for efficient training, model development and simulation of molecular systems
Christoph Brunken, Olivier Peltre, Heloise Chomet +11
Machine Learning Interatomic Potentials (MLIP) are a novel in silico approach for molecular property prediction, creating an alternative to disrupt the accuracy/speed trade-off of…
quant-ph2024★ 1 cited
Unified Framework for Matchgate Classical Shadows
Valentin Heyraud, Héloise Chomet, Jules Tilly
Estimating quantum fermionic properties is a computationally difficult yet crucial task for the study of electronic systems. Recent developments have begun to address this challeng…