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
A Neural Network-Based Feature Recognition Method in Adaptive Refinement for Efficient Reynolds Equation Solving
Sign Up to like & getrecommendations! Published in 2025 at "Lubricants"
DOI: 10.3390/lubricants13090378
Abstract: This study proposes an adaptive refinement method based on feature recognition to rapidly obtain solutions of the Reynolds equation. Leveraging an isogeometric analysis (IGA) solution framework supporting local refinement, three natural refinement features tailored to… read more here.
Keywords: refinement; based feature; feature recognition; adaptive refinement ... See more keywords