Impact of electronic correlations on the superconductivity of high-pressure CeH9
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Transferable dispersion-aware machine learning interatomic potentials for multilayer transition metal dichalcogenide heterostructures
Data generation and neural network training To develop a neural network potential with DFT accuracy in energy and…
Faithful novel machine learning for predicting quantum properties
Materials embeddings, machine learning architectures, and theoretical implementations Previous research has demonstrated success with partial data models such…