Similarity Equivariant Graph Neural Networks for Homogenization of Metamaterials

no code implementations • 26 Apr 2024 • Fleur Hendriks, Vlado Menkovski, Martin Doškář, Marc G. D. Geers, Ondřej Rokoš

To make our model as accurate and data-efficient as possible, various symmetries are incorporated into the model.

An adaptive variational Quasicontinuum methodology for lattice networks with localized damage

no code implementations • 16 Apr 2016 • Ondřej Rokoš, Ron H. J. Peerlings, Jan Zeman, Lars A. A. Beex

This contribution deals with the crack initiation and propagation in such materials and focuses on an adaptive multiscale approach that captures the spatially evolving fracture.

Materials Science

A Variational Formulation of Dissipative Quasicontinuum Methods

no code implementations • 4 Jan 2016 • Ondřej Rokoš, Lars A. A. Beex, Jan Zeman, Ron H. J. Peerlings

By construction it is shown that the QC method with dissipative interactions can be expressed as a minimization problem of a properly built energy potential, providing solutions equivalent to those of the virtual-power-based QC formulation.

Computational Physics Materials Science