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中国科学院力学研究所机构知识库
Knowledge Management System of Institue of Mechanics, CAS
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Date Issued:2023
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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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View/Download:85/4
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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
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
Spray combustion characteristics of a gas-liquid pintle injector with variable swirl intensities
期刊论文
PHYSICS OF FLUIDS, 2023, 卷号: 35, 期号: 9, 页码: 15
Authors:
He CM(何成明)
;
Luo WH(罗苇航)
;
Zhang, Peng
;
He, Zhixia
;
Yue LJ(岳连捷)
Adobe PDF(6498Kb)
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View/Download:98/1
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Submit date:2023/10/30
Recent progress on high-order discontinuous schemes for simulations of multiphase and multicomponent flows
期刊论文
PROGRESS IN AEROSPACE SCIENCES, 2023, 卷号: 140, 页码: 25
Authors:
Lv Y(吕钰)
;
Ekaterinaris, John
Adobe PDF(10529Kb)
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View/Download:54/5
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Submit date:2024/02/26
Coupled generalized nonlinear Schrodinger equations solved by adaptive step size methods in interaction picture
期刊论文
CHINESE PHYSICS B, 2023, 卷号: 32, 期号: 2, 页码: 24213
Authors:
Chen L
;
Li P(李磐)
;
Liu HS(刘河山)
;
Yu, Jin
;
Ke, ChangJun
;
Luo ZR(罗子人)
Adobe PDF(1218Kb)
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Submit date:2023/04/20
nonlinear optics
optical propagation in nonlinear media
coupled generalized nonlinear Schrodinger equations (C GNLSE)
adaptive step size methods