线性缩放的不确定性量化,机器学习和密度函数理论衍生热力学对于甲在上催化部分氧化的甲

Christopher J Blais1, Chao Xu1, Richard H West1

  • 1Department of Chemical Engineering, Northeastern University, Boston, Massachusetts 02115, United States.

概括

这项研究使用DFT,LSR和机器学习量化微动力学模型 (MKMs) 对上的甲部分氧化的不确定性. 模型与实验一致,揭示了罗111之外的活跃地点的洞察力.

相关概念视频

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