Promoting the Oxygen Evolution Activity of Perovskite Nickelates through Phase Engineering

Author(s):  
Yong Wang ◽  
Chen Huang ◽  
Kaifeng Chen ◽  
Yang Zhao ◽  
Jingxuan He ◽  
...  
Author(s):  
Linzhou Zhuang ◽  
Haolan Tao ◽  
Fang Xu ◽  
Cheng Lian ◽  
Honglai Liu ◽  
...  

Developing efficient electrocatalysts for oxygen reduction reaction (ORR) and oxygen evolution reaction (OER) is crucial for various sustainable energy devices like rechargeable Zn-air batteries. Phase engineering has been proven to...


2020 ◽  
Vol 8 (16) ◽  
pp. 8113-8120 ◽  
Author(s):  
Jun Zhou ◽  
Liwei Yuan ◽  
Jingwen Wang ◽  
Lingling Song ◽  
Yu You ◽  
...  

Combinational modulations of phase engineering and heteroatom doping are realized to prepare Fe-doped marcasite NiSe2 nanodendrites, which serve as a superior OER electrocatalyst with improved conductivity and excellent catalytic activity.


2021 ◽  
pp. 2102002
Author(s):  
Qun Li ◽  
Jiabin Wu ◽  
Tao Wu ◽  
Hongrun Jin ◽  
Nian Zhang ◽  
...  

Nanoscale ◽  
2020 ◽  
Vol 12 (39) ◽  
pp. 20413-20424
Author(s):  
Riming Hu ◽  
Yongcheng Li ◽  
Fuhe Wang ◽  
Jiaxiang Shang

Bilayer single atom catalysts can serve as promising multifunctional electrocatalysts for the HER, ORR, and OER.


2019 ◽  
Author(s):  
Seoin Back ◽  
Kevin Tran ◽  
Zachary Ulissi

<div> <div> <div> <div><p>Developing active and stable oxygen evolution catalysts is a key to enabling various future energy technologies and the state-of-the-art catalyst is Ir-containing oxide materials. Understanding oxygen chemistry on oxide materials is significantly more complicated than studying transition metal catalysts for two reasons: the most stable surface coverage under reaction conditions is extremely important but difficult to understand without many detailed calculations, and there are many possible active sites and configurations on O* or OH* covered surfaces. We have developed an automated and high-throughput approach to solve this problem and predict OER overpotentials for arbitrary oxide surfaces. We demonstrate this for a number of previously-unstudied IrO2 and IrO3 polymorphs and their facets. We discovered that low index surfaces of IrO2 other than rutile (110) are more active than the most stable rutile (110), and we identified promising active sites of IrO2 and IrO3 that outperform rutile (110) by 0.2 V in theoretical overpotential. Based on findings from DFT calculations, we pro- vide catalyst design strategies to improve catalytic activity of Ir based catalysts and demonstrate a machine learning model capable of predicting surface coverages and site activity. This work highlights the importance of investigating unexplored chemical space to design promising catalysts.<br></p></div></div></div></div><div><div><div> </div> </div> </div>


2020 ◽  
Author(s):  
Ding Yuan ◽  
Yuhai Dou ◽  
Chun-Ting He ◽  
Linping Yu ◽  
Li Xu ◽  
...  

2000 ◽  
Vol 1 (1) ◽  
pp. 235-244
Author(s):  
Ahmed Hamad ◽  
Mohamed Osman ◽  
Refaat Abdel-Basset

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