面(心理学)
密度泛函理论
吉布斯自由能
催化作用
氢
线性回归
理论(学习稳定性)
化学
物理化学
材料科学
计算化学
热力学
数学
计算机科学
物理
统计
人格
机器学习
有机化学
五大性格特征
社会心理学
生物化学
心理学
作者
Zhun Liang,Xiaoliang Zhong,Tianqi Li,Ming Chen,Guang Feng
标识
DOI:10.1002/celc.201800601
摘要
Abstract Co 2 P is one of the most promising non‐noble metal catalysts for hydrogen evolution reaction (HER) during water splitting, owing to its many advantages, such as earth‐abundance, high activity and good stability. The as‐synthesized Co 2 P is multi‐faceted while its facet‐dependent HER activity is still little known. To explore the facet‐dependent HER activity of Co 2 P, density functional theory (DFT) calculations are conducted for five different facets of Co 2 P: (001), (010), (101), (112) and (113) in this work. By comparing the surface energy and Gibbs free energy of H* (ΔG H* ) of these five facets, Co 2 P (113) is found to possess both good surface stability and high HER activity, which could be the guidance for catalyst design and synthesis. Multiple linear regression has been adopted to quantitatively scrutinize the relationship between H−Co bond length distribution and ΔG H* , and the mean absolute error of the multiple linear regression is as small as 0.0756 eV. This analysis shows that statistical methods are effective to explore the effect of structure on the HER activity, which could be helpful in understanding the underlying HER mechanism.
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