Stability and electronic properties of Au atom doped hexagonal boron nitride sheet on Ni(111) support: Role of vacancy defects and supports towards single atom catalysis

2020 ◽  
Vol 515 ◽  
pp. 145978 ◽  
Author(s):  
Seemita Banerjee ◽  
Chiranjib Majumder
RSC Advances ◽  
2015 ◽  
Vol 5 (14) ◽  
pp. 10452-10459 ◽  
Author(s):  
Xin Liu ◽  
Ting Duan ◽  
Changgong Meng ◽  
Yu Han

Taking CO oxidation as a probe, we investigated the electronic structure and reactivity of Pt atoms stabilized by vacancy defects on hexagonal boron nitride (h-BN) by first-principles-based calculations.


2D Materials ◽  
2016 ◽  
Vol 3 (4) ◽  
pp. 045002 ◽  
Author(s):  
Minghu Pan ◽  
Liangbo Liang ◽  
Wenzhi Lin ◽  
Soo Min Kim ◽  
Qing Li ◽  
...  

2018 ◽  
Vol 30 (8) ◽  
pp. 441-456 ◽  
Author(s):  
Manoj Kumar Gupta ◽  
Jayashree Bijwe ◽  
Meghashree Padhan

2021 ◽  
Author(s):  
Yu Lei ◽  
Srimanta Pakhira ◽  
Kazunori Fujisawa ◽  
He Liu ◽  
Cynthia Guerrero-Bermea ◽  
...  

2019 ◽  
Vol 8 (1) ◽  
pp. 210-217 ◽  
Author(s):  
Yingjing Liang ◽  
Hongfa Qin ◽  
Jianzhang Huang ◽  
Sha Huan ◽  
David Hui

Abstract Defects and temperature effects on the mechanical properties of hexagonal boron nitride sheet (h-BN) containing randomly distributed defects are investigated by molecular dynamics simulations and the reasons of the results are discussed. Results show that defect deteriorate the mechanical performance of BNNS. The mechanical properties are reduced by increasing percentage of vacancy defects including fracture strength, fracture strain and Young’s modulus. Simulations also indicate that the mechanical properties decrease with the temperature increasing. Moreover, defects affect the stable configuration at high temperature. With the percentage of defect increases the nanostructures become more and more unstable. Positions of the defect influent the mechanical properties. The higher the temperature and the percentage of defect are, the stronger the position of the randomly distributed defect affects the mechanical properties. The study provides a theoretical basis for the preparation and performance optimization of BNNSs.


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