Enhancing machine-learning interatomic potentials for advanced materials modeling
Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations of interatomic potentials, that are mathematical functions that express the









































