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Accelerating proton-supplying via customizing diatomic sites for boosted electrochemical CO2 reduction activity

Jiahui HuaKey Laboratory of Green and Precise Synthetic Chemistry and Applications, Ministry of Education, Anhui Province Key Laboratory of Pollutant Sensitive Materials and Environmental Remediation, School of Chemistry and Chemical Engineering, Huaibei Normal University, Huaibei 235000, P R ChinaDi ShenKey Laboratory of Functional Inorganic Materials Chemistry, Ministry of Education of the People's Republic of China, Heilongjiang University, Harbin, 150080, P R ChinaZhongliao WangKey Laboratory of Green and Precise Synthetic Chemistry and Applications, Ministry of Education, Anhui Province Key Laboratory of Pollutant Sensitive Materials and Environmental Remediation, School of Chemistry and Chemical Engineering, Huaibei Normal University, Huaibei 235000, P R ChinaOlim RuzimuradovDepartment of Natural-Mathematical Science, Turin Polytechnic University in Tashkent, Tashkent 100095, UzbekistanShavkat MamatkulovDepartment of Natural-Mathematical Science, Turin Polytechnic University in Tashkent, Tashkent 100095, UzbekistanChunfeng ShaoKey Laboratory of Green and Precise Synthetic Chemistry and Applications, Ministry of Education, Anhui Province Key Laboratory of Pollutant Sensitive Materials and Environmental Remediation, School of Chemistry and Chemical Engineering, Huaibei Normal University, Huaibei 235000, P R ChinaKai DaiKey Laboratory of Green and Precise Synthetic Chemistry and Applications, Ministry of Education, Anhui Province Key Laboratory of Pollutant Sensitive Materials and Environmental Remediation, School of Chemistry and Chemical Engineering, Huaibei Normal University, Huaibei 235000, P R ChinaXiangzhi ZhangShanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201204, ChinaJingxiang LowSchool of Physical Science and Technology, Tiangong University, Tianjin 300387, China
Nano Energyjournal2025en
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Annotatsiya

Annotatsiya mavjud emas.

Mavzular

CO2 Reduction Techniques and CatalystsElectrocatalysts for Energy ConversionMachine Learning in Materials Science

Identifikatorlar

DOI
10.1016/j.nanoen.2025.111469

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