activity
20082020
most citedAccelerating a FFT-based solver for numerical homogenization of periodic media by conjugate gradients

272 citations · 435 across the 12 of their papers we have counts for

collaborators

12 papers

cond-mat.mtrl-sci2020

Microstructure-informed reduced modes synthesized with Wang tiles and the Generalized Finite Element Method

M. Doškář, J. Zeman, P. Krysl +1

A recently introduced representation by a set of Wang tiles -- a generalization of the traditional Periodic Unit Cell based approach -- serves as a reduced geometrical model for ma…

cs.CG2019★ 11 cited

Level-set based design of Wang tiles for modelling complex microstructures

Martin Doškář, Jan Zeman, Daniel Rypl +1

Microstructural geometry plays a critical role in the response of heterogeneous materials. Consequently, methods for generating microstructural samples are increasingly crucial to…

physics.app-ph2017★ 20 cited

Wang tiling aided statistical determination of the Representative Volume Element size of random heterogeneous materials

Martin Doškář, Jan Zeman, Daniela Jarušková +1

Wang tile based representation of a heterogeneous material facilitates fast synthesis of non-periodic microstructure realizations. In this paper, we apply the tiling approach in nu…

physics.comp-ph2016★ 1 cited

MECH Micromechanics Library

Ladislav Svoboda, Stanislav Šulc, Tomáš Janda +2

The paper presents the project of an open source C/C++ library of analytical solutions to micromechanical fields within media with ellipsoidal heterogeneities. The solutions are ba…

cond-mat.mtrl-sci2014★ 27 cited

Aperiodic compression and reconstruction of real world material systems based on Wang tiles

Martin Doškář, Jan Novák, Jan Zeman

The paper presents a concept/technique to compress and synthesize complex material morphologies that is based on Wang tilings. Specifically, a microstructure is stored in a set of…

cond-mat.mtrl-sci2012★ 30 cited

Compressing Random Microstructures via Stochastic Wang Tilings

Jan Novák, Anna Kučerová, Jan Zeman

This paper presents a stochastic Wang tiling based technique to compress or reconstruct disordered microstructures on the basis of given spatial statistics. Unlike the existing app…