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Hybrid LBM-FVM solver for two-phase flow simulation
期刊论文
JOURNAL OF COMPUTATIONAL PHYSICS, 2024, 卷号: 506
作者:
Adobe PDF(3772Kb)
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浏览/下载:339/2
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提交时间:2024/04/12
Benchmarking
Boltzmann equation
Distribution functions
Finite volume method
Interface states
Numerical methods
Phase interfaces
Special effects
Two phase flow
Finite-volume method
Fluid equations
Fluid flow simulation
High-accuracy
Interface dynamic
Lattice Boltzmann method
Phase field equation
Two phases flow
Two-phase flow simulation
Two-phase fluid flow
Domain-decomposed Bayesian inversion based on local Karhunen-Loève expansions
期刊论文
JOURNAL OF COMPUTATIONAL PHYSICS, 2024, 卷号: 504
作者:
Xu, Zhihang
;
Liao, Qifeng
;
Li, Jinglai
Adobe PDF(1315Kb)
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浏览/下载:422/73
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提交时间:2024/04/26
Bayesian networks
Domain decomposition methods
Inference engines
Markov processes
Monte Carlo methods
Numerical methods
Bayesian inference
Bayesian inversion
Domain decompositions
Karhunen Loeve Expansion
Local karhunen-loeve expansion
Markov chain Monte Carlo
Markov Chain Monte-Carlo
Random fields
Spatial domains
Subdomain
Generalized finite difference method on unknown manifolds
期刊论文
JOURNAL OF COMPUTATIONAL PHYSICS, 2024, 卷号: 502
作者:
Jiang, Shixiao Willing
;
Li, Rongji
;
Yan, Qile
;
Harlim, John
Adobe PDF(2438Kb)
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浏览/下载:307/1
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提交时间:2024/02/23
Approximation algorithms
Finite difference method
Least squares approximations
Linear programming
Poisson equation
Polynomials
Boundary detection
Datapoints
Generalized finite-difference method
GMLS
Poisson problem
Polynomial on tangent bundle
Sampled data
Submanifolds
Unknown manifold
Volume constraint
Koopman operator learning using invertible neural networks
期刊论文
JOURNAL OF COMPUTATIONAL PHYSICS, 2024, 卷号: 501
作者:
Meng, Yuhuang
;
Huang, Jianguo
;
Qiu, Yue
Adobe PDF(1844Kb)
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浏览/下载:200/0
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提交时间:2024/02/23
Linear systems
Coupling flow
Dynamic mode decompositions
Finite dimensional
Invariant subspace
Invertible neural network
Koopman operator
Neural-networks
Operator learning
Operator theory
Prior-knowledge
Spectral methods for solving elliptic PDEs on unknown manifolds
期刊论文
JOURNAL OF COMPUTATIONAL PHYSICS, 2023, 卷号: 486
作者:
Yan, Qile
;
Jiang, Shixiao Willing
;
Harlim, John
Adobe PDF(11944Kb)
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浏览/下载:712/254
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提交时间:2023/05/29
Radial basis function
Galerkin approximation
Elliptic PDEs solver
Point cloud data
Adaptive deep density approximation for Fokker-Planck equations
期刊论文
JOURNAL OF COMPUTATIONAL PHYSICS, 2022, 卷号: 457
作者:
Tang, Kejun
;
Wan, Xiaoliang
;
Liao, Qifeng
Adobe PDF(1780Kb)
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浏览/下载:691/222
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提交时间:2022/03/04
Deep learning
Iterative methods
Numerical methods
Probability density function
Stochastic systems
Deep learning
Density approximations
Density estimation
Flow based
Flow-based generative model
Fokker-Planck-equation
Generative model
High-dimensional
Higher-dimensional
Steady state
Bayesian multiscale deep generative model for the solution of high-dimensional inverse problems
期刊论文
JOURNAL OF COMPUTATIONAL PHYSICS, 2022, 卷号: 455
作者:
Xia, Yingzhi
;
Zabaras, Nicholas
Adobe PDF(4390Kb)
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浏览/下载:692/268
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提交时间:2022/02/22
Bayesian inference
Deep generative model
High-dimensionality
Inverse problems
Markov Chain Monte Carlo
Multiscale estimation
Machine learning for prediction with missing dynamics
期刊论文
JOURNAL OF COMPUTATIONAL PHYSICS, 2021, 卷号: 428, 页码: #VALUE!
作者:
Harlim, John
;
Jiang, Shixiao W.
;
Liang, Senwei
;
Yang, Haizhao
Adobe PDF(1935Kb)
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浏览/下载:648/243
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提交时间:2021/04/01
Closure Modeling
Missing dynamics
Machine learning
Long Short Term Memory
ANOVA Gaussian process modeling for high -dimensional stochastic computational models
期刊论文
JOURNAL OF COMPUTATIONAL PHYSICS, 2020, 卷号: 416
作者:
Chen, Chen
;
Liao, Qifeng
Adobe PDF(1401Kb)
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浏览/下载:629/243
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提交时间:2020/11/02
Rank adaptive tensor recovery based model reduction for partial differential equations with high-dimensional random inputs
期刊论文
JOURNAL OF COMPUTATIONAL PHYSICS, 2020, 卷号: 409
作者:
Tang, Kejun
;
Liao, Qifeng
Adobe PDF(1494Kb)
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浏览/下载:825/286
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提交时间:2020/04/20
Tensor recovery
Model reduction
PDEs
Uncertainty quantification
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