使用高效的贝叶斯机器学习原子间潜力的相稳定性的预测

Hao Deng1, Bin Liu1

  • 1Tim Taylor Department of Chemical Engineering, Kansas State University, Manhattan, Kansas 66506, United States.

概括

这项研究揭示了使用先进的贝叶斯原子间潜力的异形的热力学相稳定性. 稀有高斯过程 (SGP) 潜能准确地预测.

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