High-throughput identification of high activity and selectivity transition metal single-atom catalysts for nitrogen reduction

Nano Energy ◽  
2021 ◽  
Vol 80 ◽  
pp. 105527
Author(s):  
Zhe Xue ◽  
Xinyu Zhang ◽  
Jiaqian Qin ◽  
Riping Liu
Author(s):  
Xiaolin Wang ◽  
Li-Ming Yang

We for the first time report the discovery of a series of highly efficient electrocatalysts, i.e., transition metal anchored N/O-codoped graphene, for nitrogen fixation via high-throughput screening combined with first-principles...


2020 ◽  
Vol 1 (5) ◽  
pp. 1285-1292 ◽  
Author(s):  
Yiran Ying ◽  
Ke Fan ◽  
Xin Luo ◽  
Jinli Qiao ◽  
Haitao Huang

Single Sc/Ti atoms supported on TCNQ monolayers have been explored as outstanding electrocatalysts for nitrogen reduction.


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).


2019 ◽  
Vol 141 (24) ◽  
pp. 9664-9672 ◽  
Author(s):  
Xin Liu ◽  
Yan Jiao ◽  
Yao Zheng ◽  
Mietek Jaroniec ◽  
Shi-Zhang Qiao

2021 ◽  
pp. 150547
Author(s):  
Yibo Chen ◽  
Yilei Yue ◽  
Chengwu Yang ◽  
Xinyu Zhang ◽  
Jiaqian Qin ◽  
...  

Nano Energy ◽  
2020 ◽  
Vol 68 ◽  
pp. 104304 ◽  
Author(s):  
Tong Yang ◽  
Ting Ting Song ◽  
Jun Zhou ◽  
Shijie Wang ◽  
Dongzhi Chi ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document