activity
20232025
most citedDouble-network-inspired mechanical metamaterials

94 citations · 162 across the 7 of their papers we have counts for

collaborators

8 papers

cond-mat.soft2025

Scale-Rich Network-Based Metamaterials

Csaba Both, Andrew Yen-Jong Chen, Ting-Ting Gao +4

Materials, at their essence, are networks defined by homogeneity: uniform bonds, fixed thicknesses, and discrete length scales. Mechanical metamaterials, while representing structu…

physics.app-ph2025

Entanglement-driven responses through multiscale 3D-printed knits

Bradley Cline, Catherine Bai, Sehui Jeong +5

For their resilience and toughness, filamentous entanglements are ubiquitous in both natural and engineered systems across length scales, from polymer-chain- to collagen-networks a…

cond-mat.soft2025★ 1 cited

Magnetically Responsive Microprintable Soft Nanocomposites with Tunable Nanoparticle Loading

Rachel M. Sun, Andrew Y. Chen, Yiming Ji +3

Magnetic remote actuation of soft materials is attractive for applications such as transforming materials and medical robots. However, due to manufacturing limitations, microscale…

cond-mat.soft2025★ 6 cited

Design framework for programmable three-dimensional woven metamaterials

Molly Carton, James Utama Surjadi, Bastien F. G. Aymon +1

Mechanical metamaterials have continued to offer unprecedented tunability in mechanical properties, but most designs to date have prioritized attaining high stiffness and strength…

cond-mat.soft2024★ 94 cited

Double-network-inspired mechanical metamaterials

James Utama Surjadi, Bastien F. G. Aymon, Molly Carton +1

Mechanical metamaterials are renowned for their ability to achieve high stiffness and strength at low densities, often at the expense of low ductility and stretchability-a persiste…

cs.GR2024★ 6 cited

Data-Efficient Discovery of Hyperelastic TPMS Metamaterials with Extreme Energy Dissipation

Maxine Perroni-Scharf, Zachary Ferguson, Thomas Butrille +2

Triply periodic minimal surfaces (TPMS) are a class of metamaterials with a variety of applications and well-known primitive morphologies. We present a new method for discovering n…

physics.optics2024★ 20 cited

Generative Inverse Design of Metamaterials with Functional Responses by Interpretable Learning

Wei "Wayne" Chen, Rachel Sun, Doksoo Lee +2

Metamaterials with functional responses can exhibit varying properties under different conditions (e.g., wave-based responses or deformation-induced property variation). This work…

cs.CE2023★ 35 cited

Experiment-informed finite-strain inverse design of spinodal metamaterials

Prakash Thakolkaran, Michael A. Espinal, Somayajulu Dhulipala +2

Spinodal metamaterials, with architectures inspired by natural phase-separation processes, have presented a significant alternative to periodic and symmetric morphologies when desi…