Cover Image

Discontinuity Computing using Physics-Informed Neural Network

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liu, Li, Liu, Shengping, Xie, Hui, Xiong, Fansheng, Yu, Tengchao, Xiao, Mengjuan, Liu, Lufeng, Yong, Heng
Format:	Preprint
Published:	2022
Subjects:	Fluid Dynamics Numerical Analysis
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Enhancing Arterial Blood Flow Simulations through Physics-Informed Neural Networks
by: Bhargava, Shivam, et al.
Published: (2024)

A Meshless Solver for Blood Flow Simulations in Elastic Vessels Using Physics-Informed Neural Network
by: Zhang, Han, et al.
Published: (2023)

The Moving Discontinuous Galerkin Method with Interface Condition Enforcement for the Simulation of Hypersonic, Viscous Flows
by: Ching, Eric J., et al.
Published: (2023)

VICON: Vision In-Context Operator Networks for Multi-Physics Fluid Dynamics Prediction
by: Cao, Yadi, et al.
Published: (2024)

Parallel Nodal Interior-Penalty Discontinuous Galerkin Methods for the Subsonic Compressible Navier-Stokes Equations: Applications to Vortical Flows and VIV Problems
by: Zafeiris, Spiros, et al.
Published: (2025)

Explicit form of simplified Grad's 13 moments distribution function-based moment gas kinetic solver with unstructured meshes for the multiscale rarefied flow
by: Liu, W., et al.
Published: (2024)

Improving the Vector Basis Neural Network for RANS Equations Using Separate Trainings
by: Oberto, Davide
Published: (2024)

Decoupled Divergence-Free Neural Networks Basis Method for Incompressible Fluid Problems
by: Cheng, Jinbao, et al.
Published: (2026)

Deep FBSDE Neural Networks for Solving Incompressible Navier-Stokes Equation and Cahn-Hilliard Equation
by: Deng, Yangtao, et al.
Published: (2024)

An Introduction to Computational Fluctuating Hydrodynamics
by: Garcia, Alejandro L., et al.
Published: (2024)

Consistent multiple-relaxation-time lattice Boltzmann method for the volume averaged Navier-Stokes equations
by: Liu, Yang, et al.
Published: (2024)

A universal preprocessing algorithm of average kernel method with Gauss-Laguerre quadrature for double integrals
by: Pan, Kejun, et al.
Published: (2025)

Extended Physics Informed Neural Network for Hyperbolic Two-Phase Flow in Porous Media
by: Rehman, Saif Ur, et al.
Published: (2025)

Computational Seismic Fracture Synthesis of Tidal Barrage using Enhanced Isotropic Plasticity Damage Mechanics and Coupled Lagrangian-Eulerian Multiphase Interaction
by: Chowdhury, Sayan, et al.
Published: (2024)

A simplified unified wave-particle method for diatomic gases with rotational and vibrational non-equilibrium
by: Yang, Sirui, et al.
Published: (2025)

Computational Study on the Impact of Gasoline-Ethanol Blending on Autoignition and Soot/NOx Emissions under Gasoline Compression Ignition Conditions
by: Kalvakala, Krishna C., et al.
Published: (2024)

Constructing PDFs of spatially dependent fields using finite elements
by: Mannix, Paul M., et al.
Published: (2025)

Cross-Model Verification of Wall-Bounded Flows using Finite-JAX
by: Rodriguez, Arturo, et al.
Published: (2025)

Analysis of the stability of an immersed elastic surface using the method of regularized Stokeslets
by: Ferranti, Dana, et al.
Published: (2025)

Dual scale Residual-Network for turbulent flow sub grid scale resolving: A prior analysis
by: Sallam, Omar, et al.
Published: (2024)

Improving the accuracy of meshless methods via resolving power optimisation using multiple kernels
by: Broadley, H., et al.
Published: (2025)

Fast summation of Stokes potentials using a new kernel-splitting in the DMK framework
by: Klinteberg, Ludvig af, et al.
Published: (2025)

Benchmark stress tests for flow past a cylinder at higher Reynolds numbers using EMAC
by: von Wahl, Henry, et al.
Published: (2025)

Entropy-Stable Model Reduction of One-Dimensional Hyperbolic Systems using Rational Quadratic Manifolds
by: Klein, Robin, et al.
Published: (2024)

Multiscale Modeling Framework using Element-based Galerkin Methods for Moist Atmospheric Limited-Area Simulations
by: Kang, Soonpil, et al.
Published: (2024)

Exploring forms of the moist shallow water equations using a new compatible finite element discretisation
by: Hartney, Nell, et al.
Published: (2024)

Non intrusive method for parametric model order reduction using a bi-calibrated interpolation on the Grassmann manifold
by: Oulghelou, M., et al.
Published: (2018)

Model reduction of convection-dominated viscous conservation laws using implicit feature tracking and landmark image registration
by: Zucatti, Victor, et al.
Published: (2025)

Simulating incompressible flows over complex geometries using the shifted boundary method with incomplete adaptive octree meshes
by: Yang, Cheng-Hau, et al.
Published: (2024)

Predicting nonlinear-flow regions in highly heterogeneous porous media using adaptive constitutive laws and neural networks
by: Giovannini, Chiara, et al.
Published: (2024)

Modeling and simulations of high-density two-phase flows using projection-based Cahn-Hilliard Navier-Stokes equations
by: Rabeh, Ali, et al.
Published: (2024)

Non-intrusive model reduction of advection-dominated hyperbolic problems using neural network shift augmented manifold transformation
by: Gowrachari, Harshith, et al.
Published: (2024)

A pressure-projection formulation in a least-squares meshfree method for the incompressible Navier-Stokes equations using a staggered-variable arrangement
by: Matsuda, Takeharu, et al.
Published: (2025)

Fluid-structure interaction analysis with interface control principle
by: Lee, Chungil, et al.
Published: (2025)

A Multi-Fidelity Parametric Framework for Reduced-Order Modeling using Optimal Transport-based Interpolation: Applications to Diffused-Interface Two-Phase Flows
by: Khamlich, Moaad, et al.
Published: (2026)

Structure-preserving Randomized Neural Networks for Incompressible Magnetohydrodynamics Equations
by: Li, Yunlong, et al.
Published: (2026)

Macro-micro decomposition for consistent and conservative model order reduction of hyperbolic shallow water moment equations: A study using POD-Galerkin and dynamical low rank approximation
by: Koellermeier, Julian, et al.
Published: (2023)

Effect of Uniform and Non-uniform wall heating on Three-Dimensional Magneto-Hydrodynamics Natural Convection and Entropy Generation: A computational study using New Higher Order Super Compact Scheme
by: Punia, Ashwani, et al.
Published: (2024)

A Helicity-Conservative Domain-Decomposed Physics-Informed Neural Network for Incompressible Non-Newtonian Flow
by: Lu, Zheng, et al.
Published: (2026)

Learning Mesh-Free Discrete Differential Operators with Self-Supervised Graph Neural Networks
by: Starepravo, Lucas Gerken, et al.
Published: (2026)