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Knowledge Management System of Institue of Mechanics, CAS
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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
Adobe PDF(9021Kb)
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Submit date:2024/01/08
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 N
2
-N
2
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)
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Submit date:2024/01/22
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)
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Submit date:2023/11/28
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)
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View/Download:72/8
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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)
Adobe PDF(10205Kb)
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Submit date:2023/07/17
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)
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View/Download:41/0
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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)
Adobe PDF(3908Kb)
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Submit date:2023/09/26
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)
Adobe PDF(1896Kb)
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Submit date:2023/10/23
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
Adobe PDF(3004Kb)
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Submit date:2023/09/05
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
Adobe PDF(6513Kb)
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Submit date:2023/07/17
Multi -principal element alloys
Short-range order
Machine -learning potential