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A machine learning approach for detecting shocks with high-order hydrodynamic methods

https://doi.org/10.2514/6.2020-2024
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/fld.4284openalex-snapshot
A 3D finite element ALE method using an approximate Riemann solution
inferredcites →https://doi.org/10.1016/b978-1-4832-0088-0.50011-6openalex-snapshot
One-Dimensional Unsteady Motion of a Gas
inferredcites →https://doi.org/10.1016/j.cma.2019.05.006openalex-snapshot
A higher-order Lagrangian discontinuous Galerkin hydrodynamic method for solid dynamics
inferredcites →https://doi.org/10.1016/j.compfluid.2013.12.021openalex-snapshot
A three-dimensional finite element arbitrary Lagrangian–Eulerian method for shock hydrodynamics on unstructured grids
inferredcites →https://doi.org/10.1016/j.compfluid.2014.03.018openalex-snapshot
The cell-centered discontinuous Galerkin method for Lagrangian compressible Euler equations in two-dimensions
inferredcites →https://doi.org/10.1016/j.compfluid.2017.12.007openalex-snapshot
A Lagrangian discontinuous Galerkin hydrodynamic method
inferredcites →https://doi.org/10.1016/j.jcp.2009.07.009openalex-snapshot
A comparative study of interface reconstruction methods for multi-material ALE simulations
inferredcites →https://doi.org/10.1016/j.jcp.2010.03.011openalex-snapshot
ReALE: A reconnection-based arbitrary-Lagrangian–Eulerian method
inferredcites →https://doi.org/10.1016/j.jcp.2010.04.019openalex-snapshot
A two-dimensional unstructured cell-centered multi-material ALE scheme using VOF interface reconstruction
inferredcites →https://doi.org/10.1016/j.jcp.2010.12.023openalex-snapshot
A new high-order discontinuous Galerkin spectral finite element method for Lagrangian gas dynamics in two-dimensions
inferredcites →https://doi.org/10.1016/j.jcp.2013.12.013openalex-snapshot
A Lagrangian staggered grid Godunov-like approach for hydrodynamics
inferredcites →https://doi.org/10.1016/j.jcp.2014.07.030openalex-snapshot
A discontinuous Galerkin discretization for solving the two-dimensional gas dynamics equations written under total Lagrangian formulation on general unstructured grids
inferredcites →https://doi.org/10.1016/j.jcp.2018.04.029openalex-snapshot
An artificial neural network as a troubled-cell indicator
inferredcites →https://doi.org/10.1016/j.jcp.2018.06.008openalex-snapshot
Reducing spurious mesh motion in Lagrangian finite volume and discontinuous Galerkin hydrodynamic methods
inferredcites →https://doi.org/10.1016/j.jcp.2018.06.073openalex-snapshot
Lagrangian discontinuous Galerkin hydrodynamic methods in axisymmetric coordinates
inferredcites →https://doi.org/10.1016/j.jcp.2019.02.008openalex-snapshot
A high-order Lagrangian discontinuous Galerkin hydrodynamic method for quadratic cells using a subcell mesh stabilization scheme
inferredcites →https://doi.org/10.1038/323533a0openalex-snapshot
Learning representations by back-propagating errors
inferredcites →https://doi.org/10.1063/1.352098openalex-snapshot
Defect models in electron-irradiated n-type GaAs
inferredcites →https://doi.org/10.1137/siscopenalex-snapshot
SIAM Journal on Scientific Computing
inferredcites →https://doi.org/10.2514/6.2018-1092openalex-snapshot
A Lagrangian discontinuous Galerkin hydrodynamic method for higher-order elements
inferredcites →https://doi.org/10.2514/6.2018-1562openalex-snapshot
A Lagrangian discontinuous Galerkin hydrodynamic method for 2D Cartesian and RZ axisymmetric coordinates

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Error-Correcting Neural Networks for Two-Dimensional Curvature Computation in the Level-set Method
inferred← citeshttps://doi.org/10.1007/s10915-023-02335-xopenalex-snapshot
Using Deep Neural Networks for Detecting Spurious Oscillations in Discontinuous Galerkin Solutions of Convection-Dominated Convection–Diffusion Equations
inferred← citeshttps://doi.org/10.1007/s12650-020-00732-0openalex-snapshot
Application of fully convolutional neural networks for feature extraction in fluid flow
inferred← citeshttps://doi.org/10.1007/s42967-020-00087-1openalex-snapshot
Neural Network-Based Limiter with Transfer Learning
inferred← citeshttps://doi.org/10.1016/b978-0-443-29118-0.00016-5openalex-snapshot
Applications of artificial intelligence in computational aerodynamics and modeling
inferred← citeshttps://doi.org/10.1016/j.compfluid.2020.104528openalex-snapshot
Symmetry-preserving WENO-type reconstruction schemes in Lagrangian hydrodynamics
inferred← citeshttps://doi.org/10.1016/j.eswa.2024.126352openalex-snapshot
An unsupervised machine-learning-based shock sensor: Application to high-order supersonic flow solvers
inferred← citeshttps://doi.org/10.1016/j.jcp.2020.109824openalex-snapshot
A neural network based shock detection and localization approach for discontinuous Galerkin methods
inferred← citeshttps://doi.org/10.1016/j.jcp.2021.110475openalex-snapshot
A data-driven high order sub-cell artificial viscosity for the discontinuous Galerkin spectral element method
inferred← citeshttps://doi.org/10.1016/j.jcp.2022.111291openalex-snapshot
A hybrid inference system for improved curvature estimation in the level-set method using machine learning
inferred← citeshttps://doi.org/10.1016/j.jcp.2022.111623openalex-snapshot
Error-Correcting Neural Networks for Semi-Lagrangian Advection in the Level-Set Method
inferred← citeshttps://doi.org/10.1080/00295450.2021.1913034openalex-snapshot
On the Origins of Lagrangian Hydrodynamic Methods
inferred← citeshttps://doi.org/10.1080/19942060.2024.2407005openalex-snapshot
Towards a new paradigm in intelligence-driven computational fluid dynamics simulations
inferred← citeshttps://doi.org/10.3934/mina.2024009openalex-snapshot
Artificial intelligence and machine learning in aerodynamics
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