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Laura Natali – ActiveMatter ITN
Learning hydrodynamic equations for active matter from particle simulations and experiments
Computers, Free Full-Text
Inverse molecular design using machine learning: Generative models for matter engineering
The Crunch Group – The collaborative research work of George Em Karniadakis
Примірники: Deep learning probability flows and entropy production rates in active matter
Active learning: tackling ML data annotation challenges
Machine learning guides carbon nanotechnology
Machine learning for phase behavior in active matter systems - Soft Matter (RSC Publishing) DOI:10.1039/D1SM00266J
Automatic strain sensor design via active learning and data augmentation for soft machines