Estimating vibrational and thermodynamic properties of adsorbates with uncertainty using data driven surrogates
Estimating vibrational and thermodynamic properties of adsorbates with uncertainty using data driven surrogates
复制标题
使用数据驱动的替代物估计具有不确定性的吸附物的振动和热力学特性
DOI:
10.1002/aic.16838
复制
发表时间:
2019
期刊:
影响因子:
3.7
通讯作者:
S. Rangarajan
中科院分区:
文献类型:
--
作者:
Huijie Tian;Christopher Rzepa;Ronak Upadhyay;S. Rangarajan
In this work, we propose a strategy to develop data driven local surrogate models of ab initio potential energy functions describing the interaction of adsorbates on heterogeneous catalytic materials. We show that these multivariable surrogate models, based on orthogonal polynomial expansion and trained on sampled ab‐initio energies/forces, can be used to compute harmonic vibrational frequencies and the entropy of adsorbates. Further, we show that the errors in our surrogate model can be estimated and propagated to calculate the uncertainty in the computed properties. We show proof‐of‐concept illustrations of our method to calculate the vibrational frequencies of ethene on 1D edges of molybdenum sulfide (MoS2), (b) 2D surfaces of Pt(111), and (c) 3D micropores of a HZSM‐5 zeolite; the entropy of ethane adsorbed on Pt(111); and the associated uncertainties in all the cases.