Iryna Zaporozhets1,2,3, Félix Musil1, Venkat Kapil4,5,6

  • 1Department of Physics, Freie Universität Berlin, Arnimallee 12, 14195 Berlin, Germany.

PubMed
概括

本研究介绍了一种机器学习的潜力,用于降低模拟分子动态中的核量子效应 (NQE) 的计算成本. 该方法准确地捕获各种系统中的NQEs,使复杂分子性质的高效模拟成为可能.

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