DFT and machine learning studies on a multi-functional single-atom catalyst for enhanced oxygen and hydrogen evolution as well as CO2 reduction reactions-Reference-Cited by-同舟云学术

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DFT and machine learning studies on a multi-functional single-atom catalyst for enhanced oxygen and hydrogen evolution as well as CO2 reduction reactions

Published:2024-08 Issue: Volume:80 Page:1075-1083
ISSN:0360-3199
Container-title:International Journal of Hydrogen Energy
language:en
Short-container-title:International Journal of Hydrogen Energy

Author:

Tamtaji Mohsen,Kazemeini Mohammad,Abdi Jafar

Funder

INSF

Publisher

Elsevier BV

Reference57 articles.

1. A universal principle for a rational design of single-atom electrocatalysts;Xu;Nat Catal,2018

2. NiFe single atom catalysts anchored on carbon for oxygen evolution reaction;Wu;Int J Hydrogen Energy,2022

3. Single transition metal atom catalysts on Ti2CN2 for efficient CO2 reduction reaction;Li;Int J Hydrogen Energy,2021

4. Non-bonding interaction of dual atom catalysts for enhanced oxygen reduction reaction;Tamtaji;Nano Energy,2023

5. Breaking the scaling relationship limit: from single-atom to dual-atom catalysts, accounts;Li;Mater Res,2022

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