Stability and conditioning of immersed finite element methods: analysis and remedies
This review paper discusses the developments in immersed or unfitted finite element
methods over the past decade. The main focus is the analysis and the treatment of the …
methods over the past decade. The main focus is the analysis and the treatment of the …
Physics-informed neural networks with hard constraints for inverse design
Inverse design arises in a variety of areas in engineering such as acoustic, mechanics,
thermal/electronic transport, electromagnetism, and optics. Topology optimization is an …
thermal/electronic transport, electromagnetism, and optics. Topology optimization is an …
The software design of Gridap: a finite element package based on the Julia JIT compiler
We present the software design of Gridap, a novel finite element library written exclusively in
the Julia programming language, which is being used by several research groups world …
the Julia programming language, which is being used by several research groups world …
Topological nature of dislocation networks in two-dimensional moiré materials
Moiré superlattice patterns at the interface of two-dimensional (2D) van der Waals (vdW)
materials, arising from a small displacement between similar lattices, have been extensively …
materials, arising from a small displacement between similar lattices, have been extensively …
Adaptive numerical simulations with Trixi. jl: A case study of Julia for scientific computing
We present Trixi. jl, a Julia package for adaptive high-order numerical simulations of
hyperbolic partial differential equations. Utilizing Julia's strengths, Trixi. jl is extensible, easy …
hyperbolic partial differential equations. Utilizing Julia's strengths, Trixi. jl is extensible, easy …
[HTML][HTML] Finite element interpolated neural networks for solving forward and inverse problems
We propose a general framework for solving forward and inverse problems constrained by
partial differential equations, where we interpolate neural networks onto finite element …
partial differential equations, where we interpolate neural networks onto finite element …
Linking ghost penalty and aggregated unfitted methods
In this work, we analyse the links between ghost penalty stabilisation and aggregation-
based discrete extension operators for the numerical approximation of elliptic partial …
based discrete extension operators for the numerical approximation of elliptic partial …
Thermodynamically consistent volumetric–deviatoric decomposition-based phase-field model for thermo-electro-mechanical fracture
AK Behera, KH Sudeep, MM Rahaman - Engineering Fracture Mechanics, 2023 - Elsevier
Using a volumetric–deviatoric decomposition of strain, we propose a novel phase-field
model for thermo-electro-mechanical fracture and provide an open-source finite element …
model for thermo-electro-mechanical fracture and provide an open-source finite element …
Combined diffused material interface and hybrid phase-field model for brittle fracture in heterogeneous composites
In this article, we propose a novel approach for modeling brittle fracture in heterogeneous
composites using a combined diffused material interface method and a hybrid phase-field …
composites using a combined diffused material interface method and a hybrid phase-field …
Robust high-order unfitted finite elements by interpolation-based discrete extension
In this work, we propose a novel formulation for the solution of partial differential equations
using finite element methods on unfitted meshes. The proposed formulation relies on the …
using finite element methods on unfitted meshes. The proposed formulation relies on the …