MoS2

Abrar Faiyad1, Ashlie Martini1

  • 1University of California Merced, Merced, California 95343, United States.

概括

这项研究验证了一种机器学习的原子间潜力 (MLIP),用于预测化二硫化 (MoS2) 的特性. 经过验证的MLIP可进行高效的模拟,以发现具有量身定制性能的新MoS2材料.

相关概念视频

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