Water Adsorption and Dissociation on Ceria-Supported Single-Atom Catalysts: A First-Principles DFT+U Investigation

2016 ◽  
Vol 22 (6) ◽  
pp. 2092-2099 ◽  
Author(s):  
Zhong-Kang Han ◽  
Yi Gao
Keyword(s):  
First Principles ◽  
Water Adsorption ◽  
Single Atom ◽  
Adsorption And Dissociation

Modelling STM images of TiO2(110) from first-principles: Defects, water adsorption and dissociation products

2007 ◽  
Vol 437 (1-3) ◽  
pp. 73-78 ◽  
Author(s):  
G. Teobaldi ◽  
W.A. Hofer ◽  
O. Bikondoa ◽  
C.L. Pang ◽  
G. Cabailh ◽  
...  
Keyword(s):  
First Principles ◽  
Water Adsorption ◽  
Adsorption And Dissociation ◽  
Stm Images

First-principles study of water adsorption and dissociation on the UO2 (1 1 1), (1 1 0) and (1 0 0) surfaces

2014 ◽  
Vol 454 (1-3) ◽  
pp. 446-454 ◽  
Author(s):  
Tao Bo ◽  
Jian-Hui Lan ◽  
Yao-Lin Zhao ◽  
Yu-Juan Zhang ◽  
Chao-Hui He ◽  
...  
Keyword(s):  
First Principles ◽  
Water Adsorption ◽  
First Principles Study ◽  
Adsorption And Dissociation

Influence of strain on water adsorption and dissociation on rutile TiO2(110) surface

2016 ◽  
Vol 18 (22) ◽  
pp. 14833-14839 ◽  
Author(s):  
Long Yang ◽  
Da-Jun Shu ◽  
Shao-Chun Li ◽  
Mu Wang
Keyword(s):  
First Principles ◽  
Water Adsorption ◽  
Applied Strain ◽  
First Principles Calculations ◽  
Rutile Tio2 ◽  
Adsorption And Dissociation

The influence of externally applied strain on water adsorption and dissociation on a defect-free rutile TiO2(110) surface is studied by using first-principles calculations.

First principles and machine learning based superior catalytic activities and selectivities for N2 reduction in MBenes, defective 2D materials and 2D π-conjugated polymer-supported single atom catalysts

2021 ◽  
Author(s):  
Mohammad Zafari ◽  
Arun S. Nissimagoudar ◽  
Muhammad Umer ◽  
Geunsik Lee ◽  
Kwang S. Kim
Keyword(s):  
Machine Learning ◽  
Nitrogen Fixation ◽  
First Principles ◽  
Conjugated Polymer ◽  
2D Materials ◽  
Single Atom ◽  
Vacancy Defects ◽  
Catalytic Activities ◽  
Polymer Supported ◽  
New Machine

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.

scholarly journals Highly dispersed Pt atoms and clusters on hydroxylated indium tin oxide: A view from first-principles calculations

2021 ◽  
Author(s):  
Simran Kumari ◽  
Philippe Sautet
Keyword(s):  
Heterogeneous Catalysis ◽  
Metal Atom ◽  
Tin Oxide ◽  
Indium Tin Oxide ◽  
First Principles ◽  
Catalytic Performance ◽  
Small Cluster ◽  
Single Atom ◽  
First Principles Calculations ◽  
Highly Dispersed

Supported single-atom and small cluster catalysts have become highly popular in heterogeneous catalysis. These catalysts can maximize the metal atom utilization while still showcasing superior catalytic performance. One of the...

First-principles screening of single transition metal atoms anchored on two-dimensional C9N4 for the nitrogen reduction reaction

2021 ◽  
Vol 23 (14) ◽  
pp. 8784-8791
Author(s):  
Qingling Meng ◽  
Ling Zhang ◽  
Jinge Wu ◽  
Shuwei Zhai ◽  
Xiamin Hao ◽  
...  
Keyword(s):  
Nitrogen Fixation ◽  
Transition Metal ◽  
First Principles ◽  
Reduction Reaction ◽  
Single Atom ◽  
Two Dimensional ◽  
Metal Atoms ◽  
Transition Metal Atoms ◽  
Catalytically Active ◽  
Single Transition

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

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