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Chao Liang1, Yilimiranmu Rouzhahong2, Shunwei Yao1

  • 1School of Physics, Sun Yat-Sen University, Guangzhou, 510275, China.

概括

一个新的机器学习模型,基于集群的序列图形网络 (CSGN),准确地预测晶体材料的声子状态密度 (PDOS) 光谱. 这种模型克服了感知系列相关性的局限性,以改善光谱属性预测.

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