4.3 Article

Gibbs Energy of Hydrogen Adsorption on Pt Surface by Machine Learning Potential and Metadynamics

期刊

CHEMISTRY LETTERS
卷 50, 期 7, 页码 1329-1332

出版社

CHEMICAL SOC JAPAN
DOI: 10.1246/cl.210137

关键词

Machine learning potential; Adsorption Gibbs energy; Olefin hydrogenation

资金

  1. JSPS [18J20387]
  2. Elements Strategy Initiative for Catalysts and Batteries (ESICB) of the Ministry of Education, Culture, Sports, Science, and Technology, Japan (MEXT)
  3. [17K05752]
  4. Grants-in-Aid for Scientific Research [18J20387] Funding Source: KAKEN

向作者/读者索取更多资源

A machine learning potential for describing the ethylene hydrogenation reaction on a Pt surface has been developed, allowing for path integral molecular dynamics simulations of hydrogen on Pt surface and metadynamics of hydrogen adsorption on Pt surface in various conditions. Results from metadynamics were compared with adsorption Gibbs energy from single point calculations, and the temperature and pressure dependency of hydrogen coverage on Pt surface were accurately calculated.
A machine learning potential that can describe the ethylene hydrogenation reaction on Pt surface has been developed. Using the obtained potential, path integral molecular dynamics of hydrogen on Pt surface and metadynamics of hydrogen adsorption on Pt surface in the presence or absence of ethylene were carried out. The results of metadynamics were compared with adsorption Gibbs energy obtained from a single point calculation. The temperature and pressure dependency of the hydrogen coverage on Pt surface were also calculated with high accuracy.

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