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Knowledge Management System of Institue of Mechanics, CAS
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Machine Learning-Accelerated First-Principles Study of Atomic Configuration and Ionic Diffusion in Li
10
GeP
2
S
12
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
Favorite
  |  
View/Download:7/0
  |  
Submit date:2024/05/27
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)
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  |  
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)
Favorite
  |  
View/Download:8/0
  |  
Submit date:2024/05/21
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:54/0
  |  
Submit date:2024/03/11
Cluster
Active subspace
Data-driven dimensional analysis
Machine learning
Research, Application and Future Prospect of Mode Decomposition in Fluid Mechanics
期刊论文
SYMMETRY-BASEL, 2024, 卷号: 16, 期号: 2, 页码: 22
Authors:
Long, Yun
;
Guo, Xi'an
;
Xiao TB(肖天白)
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  |  
View/Download:51/0
  |  
Submit date:2024/04/15
fluid mechanics
modal decomposition technology
proper orthogonal decomposition
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
Adobe PDF(1241Kb)
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  |  
View/Download:69/16
  |  
Submit date:2024/01/15
Discrete dislocation dynamics simulations
Machine learning
Size effects
Orientation effects
Microstructural features
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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  |  
View/Download:92/6
  |  
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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  |  
View/Download:46/6
  |  
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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  |  
View/Download:60/3
  |  
Submit date:2023/11/28
Machine learning
Turbulence modeling
Ensemble Kalman inversion
Physical interpretability