使用图形神经网络在数据限制下增强激活能量预测

Han-Chung Chang1, Ming-Hsuan Tsai1, Yi-Pei Li1,2

  • 1Department of Chemical Engineering, National Taiwan University, No. 1, Section 4, Roosevelt Road, Taipei 10617, Taiwan.

概括

通过调整低级计算到高级目标,Delta学习有效地使用更少的数据预测激活能量. 这种方法提高了计算化学的准确性,特别是当数据稀缺时.

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