SciML Webinar Justin Beroz: A closed-form mathematical framework for modeling turbulent fluids
A closed-form mathematical framework for modeling turbulent fluids
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SciML Webinar Series
SciML Webinar Ji Qi: DImensionality-Reduced Encoded Clusters with sTratified (DIRECT) sampling for Robust Training of Machine Learning Interatomic Potentials
Robust Training of Machine Learning Interatomic Potentials with Dimensionality Reduction and Stratified Sampling
SciML Webinar: Bowen Deng – CHGNet: pretrained universal interatomic potential to study electron coupled ionic systems.
CHGNet: pretrained universal interatomic potential to study electron coupled ionic systems
SciML Webinar: Lenz Fiedler – Efficient calculations of electronic structures with machine-learning models
Efficient calculations of electronic structures with machine-learning models