Benchmarking Universal Machine Learning Interatomic Potentials on Elemental Systems

This article likely presents a study that evaluates the performance of machine learning models designed to predict the interactions between atoms in elemental systems. The focus is on benchmarking, which suggests a comparison of different models or approaches. The use of 'universal' implies an attempt to create models applicable to a wide range of elements.