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ETH Zurich — most-cited papers & profile · AI for Science

← authors · overview

ETH Zurich

3 papers · 67 citations

Google Scholar ↗Semantic Scholar ↗OpenAlex ↗

Most-cited papers

Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems
2023 · 47 citations
Predicting Crack Nucleation and Propagation in Brittle Materials Using Deep Operator Networks with Diverse Trunk Architectures
2025 · 20 citations

Top co-authors

Switzerland · 2 USA · 2 and Cyber Systems · 1 Andrea Carron (8 · 1 Ankush Chakrabarty (6 · 1 Biswadip Dey (5 · 1 Cambridge · 1 Colin Jones (3 · 1 Columbus · 1 Computing · 1 Elham Kiyani (1 · 1 EPFL · 1

Topics

Physics ML Materials