Yongpeng Yang

Dr. Yongpeng Yang


Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 June 2019 in International Journal of Hydrogen Energy
Verified
Journal Article
Closed access
Jing-He YangJing-He Yang
Jing-He Yang
XSXueying Song
Xueying Song
XZXiaoxi Zhao
Xiaoxi Zhao
Yuke WangYuke Wang
Yuke Wang
YYYongpeng Yang
Yongpeng Yang
LGLi Gao
Li Gao

1 July 2019 in Applied Surface Science
Verified
Journal Article
Closed access
YYYongpeng Yang
Yongpeng Yang
XSXiangjian Shen
Xiangjian Shen
YHYifan Han
Yifan Han

1 July 2019 in Applied Surface Science
Verified
Journal Article
Closed access
HWHaiyang Wang
Haiyang Wang
YMYashen Ma
Yashen Ma
CGChuanpan Guo
Chuanpan Guo
YYYongpeng Yang
Yongpeng Yang
ZPZhikun Peng
Zhikun Peng
ZZZhihong Zhang
Zhihong Zhang

28 March 2023 in Physical Chemistry Chemical Physics
Verified
Journal Article
Closed access
PDF file
XYXue Yan
Xue Yan
XWXiangxiang Wang
Xiangxiang Wang
JHJingli Han
Jingli Han
XDXiangjian Du
Xiangjian Du
Zhongyi LiuZhongyi Liu
Zhongyi Liu
YYYongpeng Yang
Yongpeng Yang
The reconstruction of bimetals under reaction conditions is critical for precisely controlling the catalytic performance of bimetallic catalysts. The surface diffusion mechanisms of Cu@Ag nanoparticles before and after CO adsorption were studied in this work. The diffusion patterns with the lowest energy barrier were determined by using ab initio molecular dynamics and meta-dynamics simulations. The effects of nanoparticle size, surface species and CO adsorption were taken into account. We present a mechanism of multiple atom collaborative diffusion during Cu@Ag bimetal reconstruction: surface atoms diffuse outward to form adatoms first, with nearby atoms occupying the original position of the outward diffused atom, and the outward diffusion can accelerate the inward diffusion of nearby surface atoms. The surface diffusion mechanisms of Cu@Ag under a CO atmosphere are different from those of Pd@Au that we previously presented, due to the different diffusion abilities of metal atoms. Our study provides a potential strategy to control the beginning of reconstruction to change the stability of bimetals under reaction conditions.

19 August 2025 in Journal of Chemical Theory and Computation
Verified
Journal Article
Open access
YYYongpeng Yang
Yongpeng Yang
JHJingli Han
Jingli Han
Francesc Viñes SolanaFrancesc Viñes Solana
Francesc Viñes Solana
FIFrancesc Illas
Francesc Illas
A highly accurate high-dimensional neural network potential (HDNNP), trained using more than 180,000 DFT-calculated structures, is used to investigate the structure or realistic Cu-Ag bimetallic particles, as this is the dominant species during the CO2 reduction process. The structural transition of Cu and Ag nanoparticles of increasing size, ranging from hundreds of atoms to tens of thousands of atoms, has been studied. Global optimization shows that all Cu and Ag nanoparticles containing 100 to 1000 atoms have an icosahedral core. Upon increasing the number of atoms to 6000 and 10,000 for Cu and Ag, respectively, the nanoparticles' structural transitions from icosahedral to truncated-octahedral. For even larger nanoparticles, the (100)/(111) surface ratio in truncated-octahedral structures increases, which finally leads to a transformation into the cuboctahedral shape as observed in experiments.

29 December 2025 in Chemical Science
Verified
Journal Article
Open access
PDF file
YWYan Wang
Yan Wang
KLKaitao Li
Kaitao Li
YYYongpeng Yang
Yongpeng Yang
RTRui Tian
Rui Tian
Lu ChaoLu Chao
Lu Chao
We have realized the simultaneous recovery of phosphorescence and mechanical properties for polymeric films based on covalent cross-linking between the chromophore binders and polymer matrix.