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An investigation of self-interstitial diffusion in α-zirconium by an on-the-fly machine learning force field 期刊论文
AIP ADVANCES, 2024, 卷号: 14, 期号: 5, 页码: 7
Authors:  Shi, Tan;  Liu, Wenlong;  Zhang, Chen;  Lyu, Sixin;  Sun, Zhipeng;  Peng, Qing;  Li, Yuanming;  Meng, Fanqiang;  Tang, Chuanbao;  Lu, Chenyang
Favorite  |  View/Download：16/0  |  Submit date：2024/06/17
Improved Quantum-Classical Treatment of N2-N2 Inelastic Collisions: Effect of the Potentials and Complete Rate Coefficient Data Sets 期刊论文
JOURNAL OF CHEMICAL THEORY AND COMPUTATION, 2023, 卷号: 19, 期号: 23, 页码: 8557-8571
Authors:  Hong QZ(洪启臻);  Storchi, Loriano;  Sun QH(孙泉华);  Bartolomei, Massimiliano;  Pirani, Fernando;  Coletti, Cecilia
Adobe PDF(5231Kb)  |  Favorite  |  View/Download：68/11  |  Submit date：2024/01/22
Multi-objective optimization for high-performance Fe-based metallic glasses via machine learning approach 期刊论文
JOURNAL OF ALLOYS AND COMPOUNDS, 2023, 卷号: 960, 页码: 170793
Authors:  Zhang, Yuxing;  Xie, Shejuan;  Guo, Wei;  Ding, Jun;  Poh, Leong Hien;  Sha ZD(沙振东)
Adobe PDF(10205Kb)  |  Favorite  |  View/Download：78/3  |  Submit date：2023/07/17
Fe-based metallic glass  Machine learning  Critical casting size  Saturation magnetization  Plasticity  
Short-range order and its impacts on the BCC MoNbTaW multi-principal element alloy by the machine-learning potential 期刊论文
ACTA MATERIALIA, 2023, 卷号: 255, 页码: 119041
Authors:  Santosflorez, Pedro A;  Dai SC(戴仕诚);  Yao, Yi;  Yanxon, Howard;  Li, Lin;  Wang YJ(王云江);  Zhu, Qiang;  Yu, Xiaoxiang
Adobe PDF(6513Kb)  |  Favorite  |  View/Download：98/7  |  Submit date：2023/07/17
Multi -principal element alloys  Short-range order  Machine -learning potential  
Inelastic N-2+H-2 collisions and quantum-classical rate coefficients: large datasets and machine learning predictions 期刊论文
EUROPEAN PHYSICAL JOURNAL D, 2023, 卷号: 77, 期号: 7, 页码: 128
Authors:  Hong QZ(洪启臻);  Storchi, Loriano;  Bartolomei, Massimiliano;  Pirani, Fernando;  Sun QH(孙泉华);  Coletti, Cecilia
Adobe PDF(3024Kb)  |  Favorite  |  View/Download：44/3  |  Submit date：2023/09/05
A computational method for the load spectra of large-scale structures with a data-driven learning algorithm 期刊论文
SCIENCE CHINA-TECHNOLOGICAL SCIENCES, 2023, 卷号: 66, 期号: 1, 页码: 141-154
Authors:  Chen XJ(陈贤佳);  Yuan, Zheng;  Li, Qiang;  Sun, ShouGuang;  Wei YJ(魏宇杰)
Adobe PDF(2512Kb)  |  Favorite  |  View/Download：319/96  |  Submit date：2023/02/09
load spectrum  computational mechanics  deep learning  data-driven modeling  gated recurrent unit neural network  
Machine Learning Method for Fatigue Strength Prediction of Nickel-Based Superalloy with Various Influencing Factors 期刊论文
MATERIALS, 2023, 卷号: 16, 期号: 1, 页码: 13
Authors:  Guo, Yiyun;  Rui SS(芮少石);  Xu, Wei;  Sun CQ(孙成奇)
Adobe PDF(9664Kb)  |  Favorite  |  View/Download：96/6  |  Submit date：2023/02/09
machine learning  nickel-based superalloy  fatigue strength prediction  temperature  stress ratio  
Deep learning method for the super-resolution reconstruction of small-scale motions in large-eddy simulation 期刊论文
AIP ADVANCES, 2022, 卷号: 12, 期号: 12, 页码: 9
Authors:  Zhao QY(赵庆义);  Jin GD(晋国栋);  Zhou ZD(周志登)
Adobe PDF(10288Kb)  |  Favorite  |  View/Download：180/50  |  Submit date：2023/02/03
A Review of Research on Cavity Growth in the Context of Underground Coal Gasification 期刊论文
ENERGIES, 2022, 卷号: 15, 期号: 23, 页码: 21
Authors:  Fang, Huijun;  Liu YW(刘曰武);  Ge, Tengze;  Zheng TY(郑太毅);  Yu, Yueyu;  Liu, Danlu;  Ding JG(丁玖阁);  Li LL(李龙龙)
Adobe PDF(8516Kb)  |  Favorite  |  View/Download：1588/1387  |  Submit date：2023/01/12
underground coal gasification  cavity growth  field test  laboratory experiment  numerical simulation  
Predicting the Molecular Models, Types, and Maturity of Kerogen in Shale Using Machine Learning and Multi-NMR Spectra 期刊论文
ENERGY & FUELS, 2022, 页码: 13
Authors:  Kang DL(康东亮);  Zhao YP(赵亚溥)
Adobe PDF(3734Kb)  |  Favorite  |  View/Download：246/70  |  Submit date：2022/08/10