一个基于深度学习的框架,用于选择价值债券结构和预测权重

Tao Xia1, Tingzhen Chen1, Wei Wu1

  • 1State Key Laboratory of Physical Chemistry of Solid Surfaces, Fujian Provincial Key Laboratory of Theoretical and Computational Chemistry, and College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, Fujian 361005, China.

概括

深度学习增强了价值键 (VB) 理论,用于复杂的化学分析. DLVB可以有效地预测VB结构,为更大,更复杂的分子提供准确的结合分析.

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