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Linus C Erhard

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Nature Communications|March 2, 2024
Modelling atomic and nanoscale structure in the silicon-oxygen system through active machine learningLinus C Erhard, Jochen Rohrer, Karsten Albe, et al.
ACS Materials Au|March 16, 2026
How Realistic Are Idealized Copper Surfaces? A Machine Learning Study of Rough Copper-Water InterfacesLinus C Erhard, Johannes Schörghuber, Aleix Comas-Vives, et al.
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Showing results (1-10 of 2) with videos related to

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Pageof 1
Nature Communications|March 2, 2024
Modelling atomic and nanoscale structure in the silicon-oxygen system through active machine learningLinus C Erhard, Jochen Rohrer, Karsten Albe, et al.
ACS Materials Au|March 16, 2026
How Realistic Are Idealized Copper Surfaces? A Machine Learning Study of Rough Copper-Water InterfacesLinus C Erhard, Johannes Schörghuber, Aleix Comas-Vives, et al.
Pageof 1