Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Shican Wu"'
Autor:
Xiaoyun Lin, Xiaowei Du, Shican Wu, Shiyu Zhen, Wei Liu, Chunlei Pei, Peng Zhang, Zhi-Jian Zhao, Jinlong Gong
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-13 (2024)
Abstract Low-cost, efficient catalyst high-throughput screening is crucial for future renewable energy technology. Interpretable machine learning is a powerful method for accelerating catalyst design by extracting physical meaning but faces huge chal
Externí odkaz:
https://doaj.org/article/a862c26c43ef43eeb25c7be9e24de3e7
Publikováno v:
JACS Au, Vol 1, Iss 12, Pp 2100-2120 (2021)
Externí odkaz:
https://doaj.org/article/fbca0fbe9f024371ba78eba9bc3a8867
Autor:
Shiyu Zhen, Xiaoyun Lin, Gong Zhang, Dongfang Cheng, Chenggong Jiang, Xiangcheng Shi, Shican Wu, Zhi-Jian Zhao, Jinlong Gong
Publikováno v:
The Journal of Physical Chemistry C. 127:4975-4983
Autor:
Kailang Li, Xianghong Li, Lulu Li, Xin Chang, Shican Wu, Chengsheng Yang, Xiwen Song, Zhi-Jian Zhao, Jinlong Gong
Publikováno v:
JACS Au. 3:508-515
Publikováno v:
JACS Au
JACS Au, Vol 1, Iss 12, Pp 2100-2120 (2021)
JACS Au, Vol 1, Iss 12, Pp 2100-2120 (2021)
The rational design of high-performance catalysts is hindered by the lack of knowledge of the structures of active sites and the reaction pathways under reaction conditions, which can be ideally addressed by an in situ/operando characterization. Besi
Autor:
Chenggong Jiang, Hongbo Song, Guodong Sun, Xin Chang, Shiyu Zhen, Shican Wu, Zhi‐Jian Zhao, Jinlong Gong
Publikováno v:
Angewandte Chemie. 134
Understanding the structure-activity relationship of surface lattice oxygen is critical but challenging to design efficient redox catalysts. This paper describes data-driven redox activity descriptors on doped vanadium oxides combining density functi
Publikováno v:
Natural Resource Modeling. 33