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科研机构
力学研究所 [9]
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期刊论文 [9]
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2023 [3]
2022 [2]
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2018 [1]
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DeepStSNet: Reconstructing the quantum state-resolved thermochemical nonequilibrium flowfield using deep neural operator learning with scarce data
期刊论文
JOURNAL OF COMPUTATIONAL PHYSICS, 2023, 卷号: 491, 页码: 112344
作者:
Lv JQ(吕家琦)
;
Hong QZ(洪启臻)
;
Wang XY(王小永)
;
Mao, Zhiping
;
Sun QH(孙泉华)
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  |  
浏览/下载:14/0
  |  
提交时间:2023/09/26
Hypersonic
Thermochemical nonequilibrium
State-to-state approach
Deep learning
Multiphysics
Data assimilation
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
作者:
Xiao TB(肖天白)
;
Frank, Martin
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  |  
浏览/下载:15/0
  |  
提交时间:2023/09/05
Kinetic theory
Computational fluid dynamics
Scientific machine learning
Artificial neural network
Predicting continuum breakdown with deep neural networks
期刊论文
JOURNAL OF COMPUTATIONAL PHYSICS, 2023, 卷号: 489, 页码: 112278
作者:
Xiao TB(肖天白)
;
Schotthoefer, Steffen
;
Frank, Martin
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  |  
浏览/下载:15/0
  |  
提交时间:2023/09/05
Computational fluid dynamics
Kinetic theory
Boltzmann equation
Multi-scale method
Deep learning
Differential growth dynamics control aerial organ geometry
期刊论文
CURRENT BIOLOGY, 2022, 卷号: 32, 期号: 22, 页码: 4854-+
作者:
Peng, Ziyuan
;
Alique, Daniel
;
Xiong, Yuanyuan
;
Hu, Jinrong
;
Cao, Xiuwei
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  |  
浏览/下载:16/0
  |  
提交时间:2023/02/07
HiDeNN-TD: Reduced-order hierarchical deep learning neural networks
期刊论文
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2022, 卷号: 389, 页码: 33
作者:
Zhang L(张磊)
;
Lu, Ye
;
Tang, Shaoqiang
;
Liu, Wing Kam
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  |  
浏览/下载:48/0
  |  
提交时间:2022/02/17
Hierarchical deep-learning neural networks
Proper generalized decomposition
Canonical tensor decomposition
Reduced order finite element method
Convergence study and error bound
Analysis and prediction of high-speed train wheel wear based on SIMPACK and backpropagation neural networks
期刊论文
EXPERT SYSTEMS, 2021, 卷号: 38, 期号: 7, 页码: 11
作者:
Wang, Shuwen
;
Yan, Hao
;
Liu, Caixia
;
Fan, Ning
;
Liu XM(刘小明)
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  |  
浏览/下载:28/0
  |  
提交时间:2021/11/01
BP neural networks
high-speed train
SIMPACK
wheel wear
Prediction of preferential fluid flow in porous structures based on topological network models: Algorithm and experimental validation
期刊论文
SCIENCE CHINA-TECHNOLOGICAL SCIENCES, 2018, 卷号: 61, 期号: 8, 页码: 1217-1227
作者:
Ju Y
;
Liu P
;
Zhang DS
;
Dong JB
;
Ranjith PG
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  |  
浏览/下载:34/0
  |  
提交时间:2018/10/30
preferential flow
porous structure
topological networks
flow resistance
Darcy's law
experimental validation
A 3D coupled model of organic matter and inorganic matrix for calculating the permeability of shale
期刊论文
FUEL, 2017, 卷号: 204, 页码: 129-143
作者:
Cao GH(曹高辉)
;
Lin M(林缅)
;
Jiang WB(江文滨)
;
Li HS
;
Yi ZX
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  |  
浏览/下载:40/0
  |  
提交时间:2017/08/15
Multiscale
3d Coupled Model
Mortar
Apparent Permeability
Shale Gas
Dissipative Particle Dynamics (DPD): An Overview and Recent Developments
期刊论文
ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING, 2015, 卷号: 22, 期号: 4, 页码: 529-556
作者:
Liu MB(刘谋斌)
;
Liu GR
;
Zhou LW
;
Chang JZ
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2016/01/08
Dissipative particle dynamics (DPD)
Meshfree method
Particle method
Coarse-grained method
Mesoscale
Multiscale
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