Zobrazeno 1 - 10
of 73
pro vyhledávání: '"Mittal, Ketan"'
Autor:
Andrej, Julian, Atallah, Nabil, Bäcker, Jan-Phillip, Camier, John, Copeland, Dylan, Dobrev, Veselin, Dudouit, Yohann, Duswald, Tobias, Keith, Brendan, Kim, Dohyun, Kolev, Tzanio, Lazarov, Boyan, Mittal, Ketan, Pazner, Will, Petrides, Socratis, Shiraiwa, Syun'ichi, Stowell, Mark, Tomov, Vladimir
The MFEM (Modular Finite Element Methods) library is a high-performance C++ library for finite element discretizations. MFEM supports numerous types of finite element methods and is the discretization engine powering many computational physics and en
Externí odkaz:
http://arxiv.org/abs/2402.15940
Autor:
Mittal, Ketan, Dobrev, Veselin A., Knupp, Patrick, Kolev, Tzanio, Ledoux, Franck, Roche, Claire, Tomov, Vladimir Z.
Computational analysis with the finite element method requires geometrically accurate meshes. It is well known that high-order meshes can accurately capture curved surfaces with fewer degrees of freedom in comparison to low-order meshes. Existing tec
Externí odkaz:
http://arxiv.org/abs/2401.16369
Autor:
Dzanic, Tarik, Mittal, Ketan, Kim, Dohyun, Yang, Jiachen, Petrides, Socratis, Keith, Brendan, Anderson, Robert
We introduce DynAMO, a reinforcement learning paradigm for Dynamic Anticipatory Mesh Optimization. Adaptive mesh refinement is an effective tool for optimizing computational cost and solution accuracy in numerical methods for partial differential equ
Externí odkaz:
http://arxiv.org/abs/2310.01695
We present a new method for two-material Lagrangian hydrodynamics, which combines the Shifted Interface Method (SIM) with a high-order Finite Element Method. Our approach relies on an exact (or sharp) material interface representation, that is, it us
Externí odkaz:
http://arxiv.org/abs/2309.11821
Autor:
Yang, Jiachen, Mittal, Ketan, Dzanic, Tarik, Petrides, Socratis, Keith, Brendan, Petersen, Brenden, Faissol, Daniel, Anderson, Robert
Adaptive mesh refinement (AMR) is necessary for efficient finite element simulations of complex physical phenomenon, as it allocates limited computational budget based on the need for higher or lower resolution, which varies over space and time. We p
Externí odkaz:
http://arxiv.org/abs/2211.00801
We propose a method that morphs high-orger meshes such that their boundaries and interfaces coincide/align with implicitly defined geometries. Our focus is particularly on the case when the target surface is prescribed as the zero isocontour of a smo
Externí odkaz:
http://arxiv.org/abs/2208.05062
Autor:
Camier, Jean-Sylvain, Dobrev, Veselin, Knupp, Patrick, Kolev, Tzanio, Mittal, Ketan, Rieben, Robert, Tomov, Vladimir
In this paper we present a new GPU-oriented mesh optimization method based on high-order finite elements. Our approach relies on node movement with fixed topology, through the Target-Matrix Optimization Paradigm (TMOP) and uses a global nonlinear sol
Externí odkaz:
http://arxiv.org/abs/2205.12721
We propose a new approach for controlling the characteristics of certain mesh faces during optimization of high-order curved meshes. The practical goals are tangential relaxation along initially aligned curved boundaries and internal surfaces, and me
Externí odkaz:
http://arxiv.org/abs/2105.12165
Autor:
Yang, Jiachen, Dzanic, Tarik, Petersen, Brenden, Kudo, Jun, Mittal, Ketan, Tomov, Vladimir, Camier, Jean-Sylvain, Zhao, Tuo, Zha, Hongyuan, Kolev, Tzanio, Anderson, Robert, Faissol, Daniel
Large-scale finite element simulations of complex physical systems governed by partial differential equations (PDE) crucially depend on adaptive mesh refinement (AMR) to allocate computational budget to regions where higher resolution is required. Ex
Externí odkaz:
http://arxiv.org/abs/2103.01342
We present an $hr$-adaptivity framework for optimization of high-order meshes. This work extends the $r$-adaptivity method for mesh optimization by Dobrev et al., where we utilized the Target-Matrix Optimization Paradigm (TMOP) to minimize a function
Externí odkaz:
http://arxiv.org/abs/2010.02166