Spectra-Based Machine Learning for Predicting the Statistical Interaction Properties of CO Adsorbates on Surface-Reference-Cited by-同舟云学术

Spectra-Based Machine Learning for Predicting the Statistical Interaction Properties of CO Adsorbates on Surface

Published:2024-02-23 Issue:9 Volume:15 Page:2400-2404
ISSN:1948-7185
Container-title:The Journal of Physical Chemistry Letters
language:en
Short-container-title:J. Phys. Chem. Lett.

Author:

Jiang Shuang¹,Wang Xijun¹^ORCID,Chong Yuanyuan¹,Huang Yan¹,Hu Wei²^ORCID,Smith Pieter E. S.³,Jiang Jun¹^ORCID,Feng Shuo¹^ORCID

Affiliation:

1. Key Laboratory of Precision and Intelligent Chemistry, School of Chemistry and Materials Science, University of Science and Technology of China, Hefei 230026, China

2. School of Chemistry and Chemical Engineering, Qilu University of Technology (Shandong Academy of Science), Jinan 250353, China

3. Hefei JiShu Quantum Technology Co. Ltd., Hefei 230026, China

Funder

Fundamental Research Funds for the Central Universities

Institute of Energy, Hefei Comprehensive National Science Center

National Natural Science Foundation of China

Chinese Academy of Sciences

Program for Introduced Innovation Teams from the New Collegiate 20 Items of Jinan

Innovation Program for Quantum Science and Technology

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jpclett.4c00011

Reference28 articles.

1. Earth-abundant photocatalyst for H ₂ generation from NH ₃ with light-emitting diode illumination

2. Solvent molecules form surface redox mediators in situ and cocatalyze O 2 reduction on Pd

3. Mastering the surface strain of platinum catalysts for efficient electrocatalysis

4. PdMo bimetallene for oxygen reduction catalysis

5. Nano-crumples induced Sn-Bi bimetallic interface pattern with moderate electron bank for highly efficient CO2 electroreduction

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