Adaptive hp refinement for spectral elements in numerical relativity
Sign Up to like & getrecommendations! Published in 2023 at "Physical Review D"
DOI: 10.1103/physrevd.107.104043
Abstract: When a numerical simulation has to handle a physics problem with a wide range of time-dependent length scales, dynamically adaptive discretizations can be the method of choice. We present a major upgrade to the numerical… read more here.
Keywords: physics; numerical relativity; relativity; refinement spectral ... See more keywords
Adaptive h-Refinement for the RWG-Based EFIE
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Journal on Multiscale and Multiphysics Computational Techniques"
DOI: 10.1109/jmmct.2018.2836366
Abstract: An adaptive h-refinement algorithm is investigated for the electric field integral equation applied to a conducting missile target. The process incorporates the advancing front Delaunay algorithm to refine the triangular-cell surface mesh in conjunction with… read more here.
Keywords: based efie; rwg based; refinement; refinement rwg ... See more keywords
Adjoint-Based Accelerated Adaptive Refinement in Frequency Domain 3-D Finite Element Method Scattering Problems
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Antennas and Propagation"
DOI: 10.1109/tap.2020.3016162
Abstract: We present the application of adjoint analysis to 3-D finite-element method scattering problems for a posteriori error estimation and adaptive refinement. Adjoint-based methodologies, though underutilized in computational electromagnetics (CEM), enable significant improvements for both efficiency… read more here.
Keywords: refinement; adaptive refinement; finite element; method scattering ... See more keywords
Physics-Informed Neural Network Integrating PointNet-Based Adaptive Refinement for Investigating Crack Propagation in Industrial Applications
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2022.3201985
Abstract: Crack is one of the critical factors that degrade the performance of machinery manufacturing equipment. Recently, physics-informed neural networks (PINNs) have received attention due to their strong potential in solving physical problems. For fracture problems,… read more here.
Keywords: physics; crack; adaptive refinement; crack propagation ... See more keywords