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Cambridge — most-cited papers & profile · AI for Science
← authors
·
overview
Cambridge
5
papers ·
48
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems
2023 · 47 citations
Virtual Node Graph Neural Network for Full Phonon Prediction
2023 · 1 citations
Physics-Constrained Neural Closure for Lattice Boltzmann Large-Eddy Simulation
2026
Top co-authors
USA
· 3
Abhijatmedhi Chotrattanapituk (1
· 1
and Cyber Systems
· 1
and Mingda Li (11) ((1) Quantum Measurement Group
· 1
Andrea Carron (8
· 1
Ankush Chakrabarty (6
· 1
Artittaya Boonkird (1
· 1
Biswadip Dey (5
· 1
Bolin Liao (9
· 1
CA
· 1
Colin Jones (3
· 1
Columbia
· 1
Topics
Physics ML
Materials