5 citations · 17 across the 11 of their papers we have counts for
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Deep learning for size-agnostic inverse design of random-network 3D printed mechanical metamaterials
Helda Pahlavani, Kostas Tsifoutis-Kazolis, Prerak Mody +3
Practical applications of mechanical metamaterials often involve solving inverse problems where the objective is to find the (multiple) microarchitectures that give rise to a given…
3D printable strain rate-dependent machine-matter
Shahram Janbaz, Daniel Fan, Mahya Ganjian +3
Machine-matter, of which mechanical metamaterials and meta-devices are important sub-categories, is emerging as a major paradigm for designing advanced functional materials. Variou…
Bioinspired rational design of multi-material 3D printed soft-hard interfaces
Mauricio Cruz Saldivar, Edwin Tay Wei Shen, Eugeni L. Doubrovski +2
Durable interfacing of hard and soft materials is a major design challenge caused by the ensuing stress concentrations. In nature, soft-hard interfaces exhibit remarkable mechanica…
Nonlinear Coarse-graining Models for 3D Printed Multi-material Biomimetic Composites
Mauricio Cruz Saldivar, Eugeni L. Doubrovski, Mohammad J. Mirzaali +1
Bio-inspired composites are a great promise for mimicking the extraordinary and highly efficient properties of natural materials. Recent developments in voxel-by-voxel 3D printing…
Deep learning for the rare-event rational design of 3D printed multi-material mechanical metamaterials
H. Pahlavani, M. Amani, M. Cruz Saldívar +3
Emerging multi-material 3D printing techniques have paved the way for the rational design of metamaterials with not only complex geometries but also arbitrary distributions of mult…