7 citations · 10 across the 7 of their papers we have counts for
3 papers · 1 filter
Pushing the Accuracy Limit of Foundation Neural Network Models with Quantum Monte Carlo Forces and Path Integrals
Anouar Benali, Thomas Plé, Olivier Adjoua +18
We propose an end-to-end integrated strategy to produce highly accurate quantum chemistry (QC) synthetic datasets (energies and forces) aimed at deriving Foundation Machine Learnin…
On the relation between Galerkin approximations and canonical best-approximations of solutions to some non-linear Schrödinger equations
Muhammad Hassan, Yvon Maday, Yipeng Wang
In this paper, we establish a superconvergence property of Galerkin approximations to some non-linear Schrödinger equations of Gross-Pitaevskii type. More precisely, denoting by $u…
Unsupervised detection and fitness estimation of emerging SARS-CoV-2 variants. Application to wastewater samples (ANRS0160)
Alexandra Lefebvre, Vincent Maréchal, Arnaud Gloaguen +3
Repeated waves of emerging variants during the SARS-CoV-2 pandemics have highlighted the urge of collecting longitudinal genomic data and developing statistical methods based on ti…