
Dr. Huziel Enoc Sauceda
Anton Charkin-Gorbulin, Artem Kokorin, Huziel E. Sauceda, Stefan Chmiela ,Claudio Quarti ,David Beljonne ,Alexandre Tkatchenko ,Igor Poltavsky
Atomic Orbits in Molecules and Materials for Improving Machine Learning Force Fields
March
20,
2025
https://chemrxiv.org/engage/chemrxiv/article-details/67da87f981d2151a02fa53a0

Machine Learning| Aug 23, 2024
BIFOLD researchers honored with 2024 Frontiers of Science Award
The award honors the paper “SchNet - a deep learning architecture for molecules and materials,” by Kristof T. Schütt, Huziel E. Sauceda, Peter-Jan Kindermans, Alexandre Tkatchenko, and Klaus-Robert Müller. The paper introduces SchNet, a model that enhances molecular property predictions.