arXiv · 2007.14206
Machine Learning Potential Repository
Abstract
This paper introduces a machine learning potential repository that includes Pareto optimal machine learning potentials. It also shows the systematic development of accurate and fast machine learning potentials for a wide range of elemental systems. As a result, many Pareto optimal machine learning potentials are available in the repository from a website. Therefore, the repository will help many scientists to perform accurate and fast atomistic simulations.
Explore related subjects
Keep this discovery
Explore connections, maps & timelines
Atsuto Seko. 2020-07-27. Machine Learning Potential Repository. https://arxiv.org/abs/2007.14206
Cite the original work for its findings. Save a collection to share your selection of sources.