Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...
Machine learning interatomic potentials (MLIPs) have become an essential tool to enable long-time scale simulations of materials and molecules at unprecedented accuracies. The aim of this collection ...
Northwestern Engineering’s Chris Wolverton has been named a fellow of the Materials Research Society for his pioneering work in computational materials science for materials design and discovery, ...
A NIMS research team has developed a new experimental method capable of rapidly evaluating numerous material compositions by ...
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