Motivation and overview The field of atomistic ML has exploded in recent years. These models allow us to tackle materials modeling problems that were completely out of reach just a few years ago. Although most of the developments in this field have gravitated around ML interatomic potentials (MLPs), other properties which are a function of …
Prof. Volker Deringer from the University of Oxford will deliver an invited seminar on Wednesday 25 March 2025 at 10:15-11:00 in hall A304 (Ke2) of the Aalto University School of Chemical Engineering main building, Kemistintie 1, Espoo. Machine-learned interatomic potentials for materials chemistry Volker Deringer Department of Chemistry, University of Oxford Machine-learned interatomic potentials (MLIPs) …
As part of the ChemBio Finland 2026 Exhibition, held at Messukeskus in Helsinki, OCAMM and Aalto University professors Kari Laasonen and Miguel Caro are chairing a session on Machine Learning in Chemistry. The sympossium will take place on the second day of the ChemBio Finland event, 16 April 2026 between 10:00 and 15:35 in room …
ChemBio Finland: Session Machine Learning in Chemistry Read More »