Active Learning Accelerating to Screen Dual-Metal-Site Catalysts for Electrochemical Carbon Dioxide Reduction Reaction
Author:
Affiliation:
1. State Key Laboratory of Chemical Resource Engineering, Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing 100029, P. R. China
Funder
Ministry of Science and Technology of the People's Republic of China
Natural Science Foundation of Beijing Municipality
National Natural Science Foundation of China
Publisher
American Chemical Society (ACS)
Subject
General Materials Science
Link
https://pubs.acs.org/doi/pdf/10.1021/acsami.2c21332
Reference64 articles.
1. Metal–Organic Layers Leading to Atomically Thin Bismuthene for Efficient Carbon Dioxide Electroreduction to Liquid Fuel
2. Investigating the Origin of Enhanced C2+ Selectivity in Oxide-/Hydroxide-Derived Copper Electrodes during CO2 Electroreduction
3. Atomically dispersed Ni(i) as the active site for electrochemical CO2 reduction
4. Metal–Organic Framework‐Derived Carbon Nanorods Encapsulating Bismuth Oxides for Rapid and Selective CO 2 Electroreduction to Formate
5. Well-dispersed SnO2 nanocrystals on N-doped carbon nanowires as efficient electrocatalysts for carbon dioxide reduction
Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Accelerating electrocatalyst design for CO2 conversion through machine learning: Interpretable models and data-driven innovations;Nexus;2024-09
2. Leveraging Dual‐Atom Catalysts for Electrocatalysis Revitalization: Exploring the Structure‐Performance Correlation;Advanced Energy Materials;2024-02-27
3. Covalent Phenanthroline‐Porphyrin Polymer for Aminocarbonylation through Electro/Thermocatalytic Tandem Processes: Extending Chemical Valorization of CO2;Advanced Functional Materials;2024-02-04
4. A synergic investigation of experimental and computational dual atom electrocatalysis for CO2 conversion to C1 and C2+ products;Journal of Materials Chemistry A;2024
5. Influence factors of CO adsorption on C2N-supported dual-atom catalysts unveiled by machine learning and twofold feature engineering;Physical Chemistry Chemical Physics;2024
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3