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arXiv 2007.14206physics.comp-phcond-mat.mtrl-sciphysics.chem-phphysics.data-an
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机器学习潜力库

Machine Learning Potential Repository

Atsuto Seko

摘要:

本文介绍了一个机器学习潜力库,其中包括帕累托最优的机器学习潜力。它还展示了广泛的基本系统的准确和快速机器学习潜力的系统开发。因此,许多帕累托最优机器学习潜力在网站的存储库中可用。因此,该库将帮助许多科学家进行准确和快速的原子模拟。

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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