Physical information neural networks for 2D and 3D nonlinear Biot model and simulation on the pressure of brain
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Title
Physical information neural networks for 2D and 3D nonlinear Biot model and simulation on the pressure of brain
Authors
Keywords
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Journal
JOURNAL OF COMPUTATIONAL PHYSICS
Volume -, Issue -, Pages 112309
Publisher
Elsevier BV
Online
2023-06-22
DOI
10.1016/j.jcp.2023.112309
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- (2020) Teeratorn Kadeethum et al. PLoS One
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- Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
- (2018) M. Raissi et al. JOURNAL OF COMPUTATIONAL PHYSICS
- A Study of Two Modes of Locking in Poroelasticity
- (2017) Son-Young Yi SIAM JOURNAL ON NUMERICAL ANALYSIS
- Pressure and fluid-driven fracture propagation in porous media using an adaptive finite element phase field model
- (2016) Sanghyun Lee et al. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
- Were the May 2012 Emilia-Romagna earthquakes induced? A coupled flow-geomechanics modeling assessment
- (2016) R. Juanes et al. GEOPHYSICAL RESEARCH LETTERS
- Iteratively coupled solution strategies for a four-field mixed finite element method for poroelasticity
- (2016) Son-Young Yi et al. INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS
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- (2016) Jeonghun J. Lee JOURNAL OF SCIENTIFIC COMPUTING
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- (2015) Yann LeCun et al. NATURE
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- Convergence analysis of a new mixed finite element method for Biot's consolidation model
- (2014) Son-Young Yi NUMERICAL METHODS FOR PARTIAL DIFFERENTIAL EQUATIONS
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- (2011) J. Kim et al. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
- Overcoming the problem of locking in linear elasticity and poroelasticity: an heuristic approach
- (2008) Phillip Joseph Phillips et al. COMPUTATIONAL GEOSCIENCES
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