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Investigating Material Interface Diffusion Phenomena through Graph Neural Networks in Applied Materials Journal article
Zhao, Zirui, Li, Hai Feng. Investigating Material Interface Diffusion Phenomena through Graph Neural Networks in Applied Materials[J]. ACS Applied Materials & Interfaces, 2024, 16(39), 53153-53162.
Authors:  Zhao, Zirui;  Li, Hai Feng
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:8.3/8.7 | Submit date：2024/10/10
Graph Neural Networks (Gnns)  Interface Diffusion  Material Properties Prediction  Atomic Structure Modeling  Semiconductor Interfaces  
Constructing FeN4/graphitic nitrogen atomic interface for high-efficiency electrochemical CO2 reduction over a broad potential window Journal article
Liu, Chuhao, Wu, Yue, Sun, Kaian, Fang, Jinjie, Huang, Aijian, Pan, Yuan, Cheong, Weng Chon, Zhuang, Zewen, Zhuang, Zhongbin, Yuan, Qiuhua, Xin, Huolin L., Zhang, Chao, Zhang, Jiangwei, Xiao, Hai, Chen, Chen, Li, Yadong. Constructing FeN4/graphitic nitrogen atomic interface for high-efficiency electrochemical CO2 reduction over a broad potential window[J]. Chem, 2021, 7(5), 1297-1307.
Authors:  Liu, Chuhao;  Wu, Yue;  Sun, Kaian;  Fang, Jinjie;  Huang, Aijian; et al.
Favorite | TC[WOS]:156 TC[Scopus]:158 | Submit date：2021/11/30
Atomic Interface  Electrochemical Reduction Of Co2  Fen4/graphitic n  Hydrogen-pyrolysis Etching  Sdg7: Affordable And Clean Energy  
AFM characterization of the interfacial properties of carbon fiber reinforced polymer composites subjected to hygrothermal treatments Journal article
Wang Y., Hahn T.H.. AFM characterization of the interfacial properties of carbon fiber reinforced polymer composites subjected to hygrothermal treatments[J]. Composites Science and Technology, 2007, 67(1), 92-101.
Authors:  Wang Y.;  Hahn T.H.
Favorite | TC[WOS]:116 TC[Scopus]:147 | Submit date：2019/01/16
A. Cfrp Composites  B. Hygrothermal Effect  B. Interface  D. Atomic Force Microscope