Pt atoms stabilized on hexagonal boron nitride as efficient single-atom catalysts for CO oxidation: a first-principles investigation

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.

2019 ◽  
Vol 4 (3) ◽  
pp. 65 ◽  
Author(s):  
Yi Liu ◽  
Li-Ming Yang ◽  
Eric Ganz

We evaluated isolated transition metal atoms (Sc, Ti, V, Cr, Mn, and Ni) embedded in hexagonal-BN as novel single atom catalysts for CO oxidation. We predicted that embedded Ni atoms should have superior performance for this task. Ti, V, and Mn bind CO2 too strongly and so the reaction will not proceed smoothly. We studied the detailed reaction processes for Sc, Cr, and Ni. The Langmuir–Hinshelwood (LH), Eley–Rideal (ER), and the new termolecular Eley–Rideal (TER) processes for CO oxidation were investigated. Sc was not effective. Cr primarily used the ER process, although the barrier was relatively large at 1.30 eV. Ni was the best of the group, with a 0.44 eV barrier for LH, and a 0.47 eV barrier for TER. Therefore, we predicted that the LH and TER processes could operate at relatively low temperatures between 300 and 500 K.


RSC Advances ◽  
2014 ◽  
Vol 4 (73) ◽  
pp. 38750-38760 ◽  
Author(s):  
Xin Liu ◽  
Ting Duan ◽  
Yanhui Sui ◽  
Changgong Meng ◽  
Yu Han

The embedment in h-BN makes Cu states compatible to reactant states and facilitates the charge transfer for reaction to proceed.


2021 ◽  
Vol 125 (6) ◽  
pp. 1325-1335 ◽  
Author(s):  
Cesar Jara ◽  
Tomáš Rauch ◽  
Silvana Botti ◽  
Miguel A. L. Marques ◽  
Ariel Norambuena ◽  
...  

Author(s):  
Mohammad Zafari ◽  
Arun S. Nissimagoudar ◽  
Muhammad Umer ◽  
Geunsik Lee ◽  
Kwang S. Kim

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.


2019 ◽  
Vol 123 (23) ◽  
pp. 14797-14802 ◽  
Author(s):  
Xu Han ◽  
Jiangxiazi Lin ◽  
Junwei Liu ◽  
Ning Wang ◽  
Ding Pan

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