H3O2

Priyanka Pandey1, Mrinal Arandhara2, Paul L Houston3,4

  • 1Department of Chemistry and Cherry L. Emerson Center for Scientific Computation, Emory University, Atlanta, Georgia 30322, United States.

概括

对单一化离子OH-(H2O) 的两种机器学习潜力进行了比较. 顺序不变的多项式 (PIP) 潜在能量表面 (PES) 比对称梯度域机器学习 (sGDML) PES 快得多.

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