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.
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.
科学领域:
- 不同质的催化剂.
- 计算化学计算化学
- 化学反应工程 化学反应工程
背景情况:
- 微动力学模型 (MKMs) 对于预测化学系统的行为和催化剂的发展至关重要.
- 密度函数理论 (DFT) 为MKM提供了高保真度参数,但在计算上很昂贵.
- 线性缩放关系 (LSR) 和机器学习 (ML) 提供更快的参数估计,但不确定性量化通常被忽视.
研究的目的:
- 探索MKM中热力学参数的不确定性量化和贝叶斯参数估计.
- 为了比较使用DFT,LSR和机器学习模型 (GemNet-OC) 的参数估计.
- 作为一个案例研究,研究上甲的催化部分氧化 (CPOX).
主要方法:
- 贝叶斯参数估计与马尔科夫链蒙特卡洛和集体切片采样相结合.
- 使用DFT,LSR和GemNet-OC进行热力学参数计算.
- 在Rhodium上开发和优化CPOX的MKM.
主要成果:
- 来自DFT,LSR和GemNet-OC的优化MKM显示出类似的机制,并且与实验性气相分子分数有很好的一致性.
- 不确定性分析显示,吸附的氧化物和氧气可能与Rhodium 111.11以外的其他Rhodium方面结合.
- 工作流成功地整合了实验和计算的不确定性.
结论:
- 这项研究表明,在催化MKM中,对于不确定性量化具有强大的工作流.
- 这些发现提供了对罗的CPOX活性部位特征的有价值的见解.
- 这种方法通过考虑数据整合的不准确性和计算不确定性来提高MKM的可靠性.
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