High-throughput screening of single metal atom anchored on N-doped boron phosphide for N2 reduction

Nanoscale ◽  
2021 ◽  
Author(s):  
Yibo Chen ◽  
Xinyu Zhang ◽  
Jiaqian Qin ◽  
Riping Liu

Developing eco-friendly and highly-efficient catalysts for electrochemical nitrogen reduction reaction (NRR) under ambient condition to replace the energy-intensive and environment-polluting Haber-Bosch process is of great significance while remaining a long...

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 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 ◽  
Author(s):  
Enrique Pascual-San-José ◽  
Xabier Rodríguez-Martínez ◽  
Fei Zhuping ◽  
Martin Heeney ◽  
Roger Guimerà-Manrique ◽  
...  

Nano Research ◽  
2021 ◽  
Author(s):  
Olga A. Krysiak ◽  
Simon Schumacher ◽  
Alan Savan ◽  
Wolfgang Schuhmann ◽  
Alfred Ludwig ◽  
...  

AbstractDespite outstanding accomplishments in catalyst discovery, finding new, more efficient, environmentally neutral, and noble metal-free catalysts remains challenging and unsolved. Recently, complex solid solutions consisting of at least five different elements and often named as high-entropy alloys have emerged as a new class of electrocatalysts for a variety of reactions. The multicomponent combinations of elements facilitate tuning of active sites and catalytic properties. Predicting optimal catalyst composition remains difficult, making testing of a very high number of them indispensable. We present the high-throughput screening of the electrochemical activity of thin film material libraries prepared by combinatorial co-sputtering of metals which are commonly used in catalysis (Pd, Cu, Ni) combined with metals which are not commonly used in catalysis (Ti, Hf, Zr). Introducing unusual elements in the search space allows discovery of catalytic activity for hitherto unknown compositions. Material libraries with very similar composition spreads can show different activities vs. composition trends for different reactions. In order to address the inherent challenge of the huge combinatorial material space and the inability to predict active electrocatalyst compositions, we developed a high-throughput process based on co-sputtered material libraries, and performed high-throughput characterization using energy dispersive X-ray spectroscopy (EDS), scanning transmission electron microscopy (SEM), X-ray diffraction (XRD) and conductivity measurements followed by electrochemical screening by means of a scanning droplet cell. The results show surprising material compositions with increased activity for the oxygen reduction reaction and the hydrogen evolution reaction. Such data are important input data for future data-driven materials prediction.


RSC Advances ◽  
2020 ◽  
Vol 10 (49) ◽  
pp. 29575-29579
Author(s):  
Meng Wang ◽  
Feifei Li ◽  
Juan Liu

Fe2O3 nanoparticles generated from a glycerine-based synthesis can be applied as highly efficient catalysts for the electrochemical nitrogen reduction reaction.


2018 ◽  
Vol 54 (42) ◽  
pp. 5323-5325 ◽  
Author(s):  
Xiaoping Zhang ◽  
Rong-Mei Kong ◽  
Huitong Du ◽  
Lian Xia ◽  
Fengli Qu

A VN nanowire array on carbon cloth (VN/CC) as a high-performance catalyst for the nitrogen reduction reaction (NRR) affords high ammonia yield (2.48 × 10−10 mol−1 s−1 cm−2) and faradaic efficiency (3.58%) at −0.3 V versus RHE in 0.1 M HCl.


Nanoscale ◽  
2020 ◽  
Vol 12 (18) ◽  
pp. 10035-10043 ◽  
Author(s):  
Xingwu Zhai ◽  
Lei Li ◽  
Xiaoyue Liu ◽  
Yafei Li ◽  
Jueming Yang ◽  
...  

Re@MoS2 possesses the best NRR catalytic activity with a limiting potential of −0.43 V among TM@MoS2 systems.


Sign in / Sign up

Export Citation Format

Share Document