Machine learning-driven shortening the screening process towards high-performance nitrogen reduction reaction electrocatalysts with four-step screening strategy-Reference-Cited by-同舟云学术

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Machine learning-driven shortening the screening process towards high-performance nitrogen reduction reaction electrocatalysts with four-step screening strategy

Published:2024-12 Issue: Volume:676 Page:22-32
ISSN:0021-9797
Container-title:Journal of Colloid and Interface Science
language:en
Short-container-title:Journal of Colloid and Interface Science

Author:

He C.,Chen D.,Zhang W.X.

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference57 articles.

1. Nitrogen fixation and reduction at boron;Légaré;Science,2018

2. Breaking linear scaling relations by strain engineering on MXene for boosting N2 electroreduction;Li;J. Colloid Interface Sci.,2024

3. Edge-hosted CoFeB active sites with graphene nanosheets for highly selective nitrogen reduction reaction towards ambient ammonia synthesis;Arif;Chem. Eng. J.,2023

4. Atomically dispersed metal catalysts towards nitrogen reduction for Ammonia: From homogeneous to heterogeneous;Yang;Chem. Eng. J.,2023

5. Emerging artificial nitrogen cycle processes through novel electrochemical and photochemical synthesis;Hao;Mater. Today,2021

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1. Revealing the potential-determining steps of reduction of nitrate to ammonia on transition metal porphyrins catalysts;Surfaces and Interfaces;2024-10

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