Controlling auxeticity in curved-beam metamaterials via a deep generative model

DOI10.1016/J.CMA.2023.116032arXiv2301.08786OpenAlexW4362676899MaRDI QIDQ6094692

Naeim Ghavidelnia, David Schwarz, Gerrit Felsch, Viacheslav Slesarenko

Publication date: 14 September 2023

Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2301.08786

zbMATH Keywords

Poisson's ratiolatticesmachine learninginverse designauxeticitymechanical metamaterials

Mathematics Subject Classification ID

Mechanics of deformable solids (74-XX) Biology and other natural sciences (92-XX)

Related Items (1)

Topology optimization of irregular multiscale structures with tunable responses using a virtual growth rule

Cites Work

• Isogeometric analysis: CAD, finite elements, NURBS, exact geometry and mesh refinement
• Deep generative modeling for mechanistic-based learning and design of metamaterial systems
• IH-GAN: a conditional generative model for implicit surface-based inverse design of cellular structures
• Fault-tolerant elastic–plastic lattice material
• Learning representations by back-propagating errors

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