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Revealing fast ionic conduction in solid electrolytes through machine learning accelerated Raman calculations

Year: 2026

Type: article

Abstract: Revealing fast ionic conduction in solid electrolytes through machine learning accelerated Raman calculations, Grumet, Manuel, Miyagawa, Takeru, Pittet, Olivier, Pegolo, Paolo, Thalmann, Karin S, Kaiser, Waldemar, Egger, David A

Source: AI for Science

DOI: 10.1088/3050-287x/ae411a

Authors: Manuel Grumet, Takeru Miyagawa, Olivier Pittet, Paolo Pegolo, Karin S Thalmann, Waldemar Kaiser, David A Egger

Institutions: Technical University of Munich, École Polytechnique Fédérale de Lausanne

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

Open Access status: diamond

Funders: Deutsche Forschungsgemeinschaft, Bayerisches Staatsministerium für Bildung und Kultus, Wissenschaft und Kunst, Gauss Centre for Supercomputing

Award: G3764765484

OpenAlex ID: W7127330346

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Cites: 64

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