Work

Using Machine Learning Potentials to describe collision cascades phenomena in Germanium

Year: 2025

Type: conference-paper

Source: HAL (Le Centre pour la Communication Scientifique Directe)

Authors: Hellier, Adrien, Jay, Antoine, Richard, Nicolas, Hémeryck, Anne, Jarrin, Thomas

Institutions: Commissariat à l'Énergie Atomique et aux Énergies Alternatives, CEA DAM Île-de-France

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W7043876510

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