ArticleNature communications2025
Unified electronic-geometric descriptor deciphers peroxymonosulfate activation using Fe-based dual-atom catalysts.
Yifei Wang, Dongyue Liu, Hao Wang, Yuqing Ma, Xuedi Sun, Yiyang Wu, Meng Liu, Yongzhen Peng, Yanbiao Liu
Abstract read
In one paragraphArticle in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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4 · The recordCorrections and comments
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5 · Who and what moneyAuthors and funding
9 authors.
Yifei WangNational Engineering Laboratory for Advanced Municipal Wastewater Treatment and Reuse Technology, Key Laboratory of Beijing for Water Quality Science and Water Environment Recovery Engineering, Beijing University of Technology, Beijing, China.
Dongyue LiuNational Engineering Laboratory for Advanced Municipal Wastewater Treatment and Reuse Technology, Key Laboratory of Beijing for Water Quality Science and Water Environment Recovery Engineering, Beijing University of Technology, Beijing, China.
Hao WangNational Engineering Laboratory for Advanced Municipal Wastewater Treatment and Reuse Technology, Key Laboratory of Beijing for Water Quality Science and Water Environment Recovery Engineering, Beijing University of Technology, Beijing, China.
Yuqing MaNational Engineering Laboratory for Advanced Municipal Wastewater Treatment and Reuse Technology, Key Laboratory of Beijing for Water Quality Science and Water Environment Recovery Engineering, Beijing University of Technology, Beijing, China.
Xuedi SunNational Engineering Laboratory for Advanced Municipal Wastewater Treatment and Reuse Technology, Key Laboratory of Beijing for Water Quality Science and Water Environment Recovery Engineering, Beijing University of Technology, Beijing, China.
Yiyang WuNational Engineering Laboratory for Advanced Municipal Wastewater Treatment and Reuse Technology, Key Laboratory of Beijing for Water Quality Science and Water Environment Recovery Engineering, Beijing University of Technology, Beijing, China.
Meng LiuSchool of Environmental Science and Technology, Key Laboratory of Industrial Ecology and Environmental Engineering (Ministry of Education), Dalian University of Technology, Dalian, China.ORCID http://orcid.org/0000-0003-3114-9003 Yongzhen PengNational Engineering Laboratory for Advanced Municipal Wastewater Treatment and Reuse Technology, Key Laboratory of Beijing for Water Quality Science and Water Environment Recovery Engineering, Beijing University of Technology, Beijing, China. pyz@bjut.edu.cn.ORCID http://orcid.org/0000-0002-4702-3774 Yanbiao LiuSchool of Environmental Science and Technology, Key Laboratory of Industrial Ecology and Environmental Engineering (Ministry of Education), Dalian University of Technology, Dalian, China. yanbiaoliu@dlut.edu.cn.ORCID http://orcid.org/0000-0001-8404-3806 Funding
National Natural Science Foundation of China (National Science Foundation of China) 52000004National Natural Science Foundation of China (National Science Foundation of China) W2412093
6 · The paper itselfAbstract
The rational design of high-efficiency Fenton-like catalysts remains hindered by insufficient understanding of electronic-geometric synergy in peroxymonosulfate (PMS) activation. We transcend classical d-band theory by proposing a machine learning-decoded binary descriptor (BD) unifying orbital electronic structure (I
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PMID41290678
PMCPMC12647816
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