论文标题
机器学习潜在存储库
Machine Learning Potential Repository
论文作者
论文摘要
本文介绍了机器学习潜在的存储库，其中包括帕累托最佳机器学习潜力。它还显示了针对各种元素系统的准确和快速机器学习潜力的系统开发。结果，存储库可以从网站上获得许多帕累托最佳机器学习潜力。因此，存储库将帮助许多科学家进行准确，快速的原子模拟。
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.
