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

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

Authors

Institutions

Publication Details

Journal
AI for Science
Published
2026-02-03
DOI
https://doi.org/10.1088/3050-287x/ae411a
Primary Topic
Machine Learning in Materials Science
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

David A. Egger, Takeru Miyagawa, Paolo Pegolo, Manuel Grumet et al.
AI for Science
Machine Learning in Materials Science
article

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

David A. Egger, Takeru Miyagawa, Paolo Pegolo, Manuel Grumet, Karin S. Thalmann, Olivier Pittet, Waldemar Kaiser
article en

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

AI for ScienceVol. 2(1)
École Polytechnique Fédérale de Lausanne (CH), Technical University of Munich (DE)
Openalex Percentile: Top 69%
Machine Learning in Materials Science
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.