Identifying the Activity Origin of a Cobalt Single‐Atom Catalyst for Hydrogen Evolution Using Supervised Learning

Single‐atom catalysts (SACs) have become the forefront of energy conversion studies, but unfortunately, the origin of their activity and the interpretation of the synchrotron spectrograms of these materials remain ambiguous. Here, systematic density functional theory computations reveal that the edg...

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Veröffentlicht in:	Advanced functional materials 2021-05, Vol.31 (18), p.n/a, Article 2100547
Hauptverfasser:	Liu, Xinghui, Zheng, Lirong, Han, Chenxu, Zong, Hongxiang, Yang, Guang, Lin, Shiru, Kumar, Ashwani, Jadhav, Amol R., Tran, Ngoc Quang, Hwang, Yosep, Lee, Jinsun, Vasimalla, Suresh, Chen, Zhongfang, Kim, Seong‐Gon, Lee, Hyoyoung
Format:	Artikel
Sprache:	eng
Schlagworte:	Chemistry Chemistry, Multidisciplinary Chemistry, Physical Cobalt Density functional theory electrocatalysts Energy conversion Graphene hydrogen evolution reaction Hydrogen evolution reactions machine learning Materials Science Materials Science, Multidisciplinary Nanoscience & Nanotechnology Performance evaluation Physical Sciences Physics Physics, Applied Physics, Condensed Matter Science & Technology Science & Technology - Other Topics Single atom catalysts Spectrograms Structural analysis Supervised learning Synchrotrons Technology
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