15 citations · 22 across the 2 of their papers we have counts for
2 papers
cs.CE2024★ 15 cited
Data-driven methods for computational mechanics: A fair comparison between neural networks based and model-free approaches
Martin Zlatić, Felipe Rocha, Laurent Stainier +1
We present a comparison between two approaches to modelling hyperelastic material behaviour using data. The first approach is a novel approach based on Data-driven Computational Me…
physics.app-ph2023★ 7 cited
A computational framework for nanotrusses: input convex neural networks approach
Marko Čanađija, Valentina Košmerl, Martin Zlatić +2
The present research aims to provide a practical numerical tool for the mechanical analysis of nanoscale trusses with similar accuracy to molecular dynamics (MD). As a first step,…