Results 111 to 120 of about 14,649,018 (327)
Large-scale 3D random polycrystals for the finite element method: Generation, meshing and remeshing
A methodology is presented for the generation and meshing of large-scale three-dimensional random polycrystals. Voronoi tessellations are used and are shown to include morphological properties that make them particularly challenging to mesh with high ...
R. Quey, P. Dawson, F. Barbe
semanticscholar +1 more source
Deep Ritz - Finite element methods: Neural network methods trained with finite elements
While much attention of neural network methods is devoted to high-dimensional PDE problems, in this work we consider methods designed to work for elliptic problems on domains $Ω\subset \mathbb{R} ^d, $ $d=1,2,3$ in association with more standard finite elements. We suggest to connect finite elements and neural network approximations through training, i.
Georgios Grekas +1 more
openaire +4 more sources
CT‐based finite element simulations combined with in situ X‐ray computed tomography are used to analyze insert pull‐out in nickel‐coated polymer foams. Despite variations in material parameters, deformation consistently concentrates within a narrow annular region around the insert.
Yannik Bautz +4 more
wiley +1 more source
Design of a Multistable Finger Prosthesis with Programmable Metamaterials
This research article shows the development of a multistable programmble metamaterial for the use as a finger prosthesis. The material was designed on different hierarchical levels where the influence of geometrical parameters and combination of mechanical elements was explored.
Franziska Wenz +5 more
wiley +1 more source
Finite element method for time-space-fractional Schrodinger equation
In this article, we develop a fully discrete finite element method for the nonlinear Schrodinger equation (NLS) with time- and space-fractional derivatives.
Xiaogang Zhu +4 more
doaj
This article explores the transformative potential of symbolic artificial intelligence (AI) in the field of materials science, particularly in leveraging experimental data. The article presents several symbolic AI models and discusses their applications in materials science.
Ahmed Amrani +7 more
wiley +1 more source
Investigating the Low‐Temperature Phase Stability of the Binary Ta–W System
Atomistic simulations show that the binary Ta–W system forms ordered intermetallic phases, B2‐TaW and D03‐TaW3, as 0 K ground states. Configurational entropy, however, lowers the free energy of the disordered bcc solid solution, which becomes the stable phase above about 400 K.
Klemens Lechner +7 more
wiley +1 more source
Multigrid for the Mortar Finite Element Method
The authors deal with a multigrid technique for uniformly preconditioning linear systems arising from a mortar finite element discretization of second order elliptic boundary value problems. Although the results reported in the paper are stated for a model problem (Poisson equation with Dirichlet and Neumann boundary conditions on the different parts ...
Gopalakrishnan, Jay, Pasciak, Joseph E.
openaire +4 more sources
Supporting AI Readiness Through Digital Workflows in Materials Science
Digitalization drives innovation in materials science by connecting data silos and turning heterogeneous processes into reusable research pipelines. Across 13 MaterialDigital projects, digital workflows reveal complementary pathways toward AI‐ready materials research, founded on structured data, persistent artifacts, executable orchestration, and ...
Marian Bruns +67 more
wiley +1 more source
Time Domain Finite Element Method for Maxwell’s Equations
In this paper, we discuss a time domain finite element method for the approximate solution of Maxwell's equations. A weak formulation is derived for the electric and magnetic fields with appropriate initial and boundary conditions, and the problem is ...
Asad Anees, Lutz Angermann
doaj +1 more source

