Data-driven synchronization-avoiding algorithms in the explicit distributed structural analysis of soft tissue (Q6044215)

scientific article; zbMATH DE number 7686702

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English	Data-driven synchronization-avoiding algorithms in the explicit distributed structural analysis of soft tissue	scientific article; zbMATH DE number 7686702

Statements

instance of

scholarly article

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title

Data-driven synchronization-avoiding algorithms in the explicit distributed structural analysis of soft tissue (English)

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author

Guoxiang Grayson Tong

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Daniele E. Schiavazzi

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published in

Computational Mechanics

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publication date

17 May 2023

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full work available at URL

https://arxiv.org/abs/2207.02194

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zbMATH Keywords

distributed finite element method

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encoder-decoder long short-term memory neural network

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linear elastodynamics

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coronary model

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MaRDI profile type

MaRDI publication profile

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cites work

Discovering governing equations from data by sparse identification of nonlinear dynamical systems

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Deep neural network modeling of unknown partial differential equations in nodal space

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Q5270493

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Neural-PDE: a RNN based neural network for solving time dependent PDEs

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Real-time nonlinear finite element computations on GPU - application to neurosurgical simulation

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High-order finite-element seismic wave propagation modeling with MPI on a large GPU cluster

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An ensemble solver for segregated cardiovascular FSI

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Selective mass scaling for explicit finite element analyses

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Data driven governing equations approximation using deep neural networks

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Physics-informed neural networks: a deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

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A collocated<i>C</i><sup>0</sup>finite element method: Reduced quadrature perspective, cost comparison with standard finite elements, and explicit structural dynamics

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A simple, stable, and accurate linear tetrahedral finite element for transient, nearly, and fully incompressible solid dynamics: a dynamic variational multiscale approach

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Performance of preconditioned iterative linear solvers for cardiovascular simulations in rigid and deformable vessels

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Fundamentals of recurrent neural network (RNN) and long short-term memory (LSTM) network

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Closed-form stiffness matrices for the linear strain and quadratic strain tetrahedron finite elements

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Variationally consistent mass scaling for explicit time-integration schemes of lower- and higher-order finite element methods

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Data-driven forecasting of high-dimensional chaotic systems with long short-term memory networks

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Data-driven deep learning of partial differential equations in modal space

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Reduced integration technique in general analysis of plates and shells

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Identifiers

zbMATH Open document ID

1515.74060

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arXiv ID

2207.02194

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Mathematics Subject Classification ID

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10.1007/S00466-022-02248-W

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Sitelinks

Mathematics(1 entry)

mardi Publication:6044215