CompChem Observer

Conferences, workshops and schools in computational chemistry

Machine Learning for Atomistic Simulations of Materials

Dates
Type
school
Format
in-person
Location
Physikzentrum Bad Honnef, Bad Honnef, Germany
Official page
https://www.we-heraeus-stiftung.de/veranstaltungen/machine-learning-for-atomistic-simulations-of-materials/
Dates from
https://www.we-heraeus-stiftung.de/veranstaltungen/machine-learning-for-atomistic-simulations-of-materials/
Topics
ml-potentialsml-chemistrymaterials-modelingmolecular-dynamicseducation-training

This summer school focuses on the theoretical foundations and practical implementation of machine learning for atomistic simulations of materials. Lectures cover the construction of ML interatomic potentials, representations of atomic environments, learning algorithms, validation strategies, and applications to diverse materials classes, emphasizing the integration of ML with established atomistic simulation methods.


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