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Stephan Roche — most-cited papers & profile · AI for Science
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Stephan Roche
2
papers ·
363
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Machine-Learning Interatomic Potentials Enable First-Principles Multiscale Modeling of Lattice Thermal Conductivity in Graphene/Borophene Heterostructures
2020 · 208 citations
Exploring Phononic Properties of Two-Dimensional Materials using Machine Learning Interatomic Potentials
2020 · 155 citations
Top co-authors
Bohayra Mortazavi
· 2
Evgeny V. Podryabinkin
· 2
Timon Rabczuk
· 2
Alexander V. Shapeev
· 1
Alexander V. Shapeev and Xiaoying Zhuang
· 1
Ivan S. Novikov
· 1
Xiaoying Zhuang
· 1
Topics
Materials
Physics ML