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Isogeometric Convolution Hierarchical Deep-learning Neural Network: Isogeometric analysis with versatile adaptivity 期刊论文
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2023, 卷号: 417, 页码: 46
Authors:  Zhang L(张磊);  Park, Chanwook;  Lu, Ye;  Li, Hengyang;  Mojumder, Satyajit;  Saha, Sourav;  Guo, Jiachen;  Li, Yangfan;  Abbott, Trevor;  Wagner, Gregory J.;  Tang, Shaoqiang;  Liu, Wing Kam
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Convolution isogeometric analysis (C-IGA)  Convolution hierarchical deep-learning neural network (C-hiDeNN)  Software 2.0  r-h-p-s-a adaptive finite element method (FEM)  High-order smoothness and convergence  
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
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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)
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Machine learning  Turbulence modeling  Ensemble Kalman inversion  Physical interpretability  
Machine learning informed visco-plastic model for the cyclic relaxation of 316H stainless steel at 550 °C 期刊论文
INTERNATIONAL JOURNAL OF PLASTICITY, 2023, 卷号: 170, 页码: 23
Authors:  Du R(杜柔);  Song HX(宋恒旭);  Gao, Fuhai;  Mo, Yafei;  Yan, Ziming;  Zhuang, Zhuo;  Liu XM(刘小明);  Wei, Yueguang
Adobe PDF(5183Kb)  |  Favorite  |  View/Download:72/8  |  Submit date:2024/02/19
Cyclic relaxation  High -temperature plasticity  Visco-plastic constitutive model  Bayesian method  Fatigue and creep  
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
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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  
Dynamic Parameter Optimization of High-Speed Pantograph Based on Swarm Intelligence and Machine Learning 期刊论文
INTERNATIONAL JOURNAL OF APPLIED MECHANICS, 2023, 卷号: 15, 期号: 9, 页码: 2350078
Authors:  Zhou R(周睿);  Xu XH(许向红)
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Contact force of pantograph-catenary system  selective crow search algorithm  surrogate model  multi-parameter optimization  
Predicting continuum breakdown with deep neural networks 期刊论文
JOURNAL OF COMPUTATIONAL PHYSICS, 2023, 卷号: 489, 页码: 112278
Authors:  Xiao TB(肖天白);  Schotthoefer, Steffen;  Frank, Martin
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Computational fluid dynamics  Kinetic theory  Boltzmann equation  Multi-scale method  Deep learning  
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
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Multi -principal element alloys  Short-range order  Machine -learning potential