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Thermal conductivity modeling using machine learning potentials: application to crystalline and amorphous silicon 期刊论文
MATERIALS TODAY PHYSICS, 2019, 卷号: 10, 页码: UNSP 100140./通讯作者：Yang, R
Authors:  Qian X.;  彭神佑.;  Li X.;  Wei YJ(魏宇杰);  Yang R.
View  |  Adobe PDF(1356Kb)  |  Favorite  |  View/Download：391/164  |  Submit date：2020/03/21
Thermal conductivity  Machine learning  Molecular dynamics  Phonons  
Electronic band structure of carbon honeycombs 期刊论文
MATERIALS TODAY PHYSICS, 2018, 卷号: 5, 页码: 72-77./通讯作者：Wei, YJ (corresponding author), Chinese Acad Sci, Inst Mech, LNM, Beijing 100190, Peoples R China., Yang, RG (corresponding author), Univ Colorado, Mat Sci & Engn Program, Boulder, CO 80309 USA.
Authors:  Pang ZQ(庞振乾);  Gu, Xiaokun;  Wei YJ(魏宇杰);  Yang, Ronggui
Adobe PDF(2637Kb)  |  Favorite  |  View/Download：196/96  |  Submit date：2022/10/25
Ultralight weight  sp(3) hybridization  Semiconductor  Band gap  Boron-honeycomb  Phonon dispersion  
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