.

Zongyi Ma1, Zhiliang Pan2

  • 1Guangxi Education Department Key Laboratory of Microelectronic Packaging and Assembly Technology, School of Mechanical and Electrical Engineering, Guilin University of Electronic Technology, Guilin, 541004, Guangxi, China.

Scientific reports
|July 15, 2023
PubMed
概括

这项研究为机器学习模型引入了基于物理的特性,用于预测溶液分离能量. 与现有方法相比,这些特性提供了更高的准确性和维度平衡.

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