ab initio

François Mouvet1, Nicholas J Browning1, Pablo Baudin1

  • 1Laboratory of Computational Chemistry and Biochemistry, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.

PubMed
概括

本研究介绍了一种机器学习增强的多个时间步骤 (ML-MTS) 方法,用于分子动力学. ML-MTS显著降低了精确的波恩-奥本海默分子动力学模拟的计算成本.

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