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Machine Learning-Accelerated First-Principles Study of Atomic Configuration and Ionic Diffusion in Li10GeP2S12 Solid Electrolyte 期刊论文
MATERIALS, 2024, 卷号: 17, 期号: 8, 页码: 14
Authors:  Qi, Changlin;  Zhou, Yuwei;  Yuan XZ(袁晓泽);  Peng Q(彭庆);  Yang, Yong;  Li, Yongwang;  Wen, Xiaodong
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Li10GeP2S12 solid electrolyte  first-principles calculation  Ewald-summation-based electrostatic energy  machine learning- and active-learning-based LAsou method  ab initio molecular dynamics  
Sensor Head Temperature Distribution Reconstruction of High-Precision Gravitational Reference Sensors with Machine Learning 期刊论文
SENSORS, 2024, 卷号: 24, 期号: 8, 页码: 26
Authors:  Duan ZC(段宗超);  Ren, Feilong;  Qiang, LiE;  Qi KQ(齐克奇);  Zhang HY(张昊越)
Favorite  |  View/Download:0/0  |  Submit date:2024/05/27
gravitational reference sensors  temperature reconstruction  simulation  interpolation  machine learning  
Data augmented prediction of Reynolds stresses for flows around an axisymmetric body of revolution 期刊论文
OCEAN ENGINEERING, 2024, 卷号: 296, 页码: 14
Authors:  Liu Y(刘毅);  Wang SZ(王士召);  Zhang XL(张鑫磊);  He GW(何国威)
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Ensemble Kalman method  Machine learning  Turbulence modeling  SUBOFF model  
Advancing space-based gravitational wave astronomy: Rapid parameter estimation via normalizing flows 期刊论文
SCIENCE CHINA-PHYSICS MECHANICS & ASTRONOMY, 2024, 卷号: 67, 期号: 3, 页码: 14
Authors:  Du MH(杜明辉);  Liang, Bo;  Wang, He;  Xu P(徐鹏);  Luo ZR(罗子人);  Wu, Yueliang
Favorite  |  View/Download:49/0  |  Submit date:2024/03/11
Taiji program  gravitational wave detection  parameter estimation  machine learning  
Clustering dimensionless learning for multiple-physical-regime systems 期刊论文
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2024, 卷号: 420, 页码: 21
Authors:  Zhang, Lei;  Xu ZY(许昭越);  Wang SZ(王士召);  He GW(何国威)
Favorite  |  View/Download:56/0  |  Submit date:2024/03/11
Cluster  Active subspace  Data-driven dimensional analysis  Machine learning  
Micropillar compression using discrete dislocation dynamics and machine learning 期刊论文
THEORETICAL AND APPLIED MECHANICS LETTERS, 2024, 卷号: 14, 期号: 1, 页码: 100484
Authors:  Tao, Jin;  Wei DA(魏德安);  Yu, Junshi;  Kan, Qianhua;  Kang, Guozheng;  Zhang, Xu
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Discrete dislocation dynamics simulations  Machine learning  Size effects  Orientation effects  Microstructural features  
Physical interpretation of neural network-based nonlinear eddy viscosity models 期刊论文
AEROSPACE SCIENCE AND TECHNOLOGY, 2023, 卷号: 142, 页码: 13
Authors:  Zhang XL(张鑫磊);  Xiao, Heng;  Jee, Solkeun;  He GW(何国威)
Adobe PDF(5699Kb)  |  Favorite  |  View/Download:60/3  |  Submit date:2023/11/28
Machine learning  Turbulence modeling  Ensemble Kalman inversion  Physical interpretability  
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)
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Fe-based metallic glass  Machine learning  Critical casting size  Saturation magnetization  Plasticity  
RelaxNet: A structure-preserving neural network to approximate the Boltzmann collision operator 期刊论文
JOURNAL OF COMPUTATIONAL PHYSICS, 2023, 卷号: 490, 页码: 112317
Authors:  Xiao TB(肖天白);  Frank, Martin
Adobe PDF(5203Kb)  |  Favorite  |  View/Download:41/0  |  Submit date:2023/09/05
Kinetic theory  Computational fluid dynamics  Scientific machine learning  Artificial neural network  
Explainability analysis of neural network-based turbulence modeling for transonic axial compressor rotor flows 期刊论文
AEROSPACE SCIENCE AND TECHNOLOGY, 2023, 卷号: 141, 页码: 108542
Authors:  Wu CT(吴楚畋);  Wang SZ(王士召);  Zhang XL(张鑫磊);  He GW(何国威)
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Explainability  Ensemble Kalman method  Turbulence model  Axial compressor rotor  Neural network  Machine learning