Regulating Electronic Spin Moments of Single-Atom Catalyst Sites via Single-Atom Promoter Tuning on S-Vacancy MoS2 for Efficient Nitrogen Fixation

Author(s):  
Qian Dang ◽  
Shaobin Tang ◽  
Tianyong Liu ◽  
Xiaokang Li ◽  
Xijun Wang ◽  
...  
Author(s):  
Wenhui Zhong ◽  
Yue Qiu ◽  
Hujun Shen ◽  
Xijun Wang ◽  
Jianyong Yuan ◽  
...  

Author(s):  
Mohammad Zafari ◽  
Arun S. Nissimagoudar ◽  
Muhammad Umer ◽  
Geunsik Lee ◽  
Kwang S. Kim

The catalytic activity and selectivity can be improved for nitrogen fixation by using hollow sites and vacancy defects in 2D materials, while a new machine learning descriptor accelerates screening of efficient electrocatalysts.


2021 ◽  
Vol 23 (14) ◽  
pp. 8784-8791
Author(s):  
Qingling Meng ◽  
Ling Zhang ◽  
Jinge Wu ◽  
Shuwei Zhai ◽  
Xiamin Hao ◽  
...  

Theoretical screening of transition metal atoms anchored on monolayer C9N4 as highly stable, catalytically active and selective single-atom catalysts for nitrogen fixation.


2020 ◽  
Vol 22 (17) ◽  
pp. 9216-9224 ◽  
Author(s):  
Zhen Feng ◽  
Yanan Tang ◽  
Weiguang Chen ◽  
Yi Li ◽  
Renyi Li ◽  
...  

2D graphdiyne is a superior candidate for dispersing single transition metal atoms, which can be used as SACs for nitrogen fixation.


Small Methods ◽  
2018 ◽  
Vol 3 (9) ◽  
pp. 1800376 ◽  
Author(s):  
Chongyi Ling ◽  
Yixin Ouyang ◽  
Qiang Li ◽  
Xiaowan Bai ◽  
Xin Mao ◽  
...  

2020 ◽  
Vol 8 (10) ◽  
pp. 5209-5216 ◽  
Author(s):  
Mohammad Zafari ◽  
Deepak Kumar ◽  
Muhammad Umer ◽  
Kwang S. Kim

Machine learning (ML) methods would significantly reduce the computational burden of catalysts screening for nitrogen reduction reaction (NRR).


2022 ◽  
Author(s):  
Tao Chen ◽  
Tong Liu ◽  
Beibei Pang ◽  
Tao Ding ◽  
Wei Zhang ◽  
...  

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