Marco Hoffmann1, Nicolas Hayer1, Maximilian Kohns1

  • 1Laboratory of Engineering Thermodynamics, RPTU Kaiserslautern, Erwin-Schrödinger-Str. 44, 67663 Kaiserslautern, Germany. fabian.jirasek@rptu.de.

概括

本研究介绍了一种机器学习方法,用于预测分子模拟的相互作用参数. 这提高了预测混合物属性的准确性,比如对新系统的亨利定律常数.

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