AI-assisted design of 3D NPR lattice materials with programmable mechanical properties using irregular unit cells
Year: 2026
Type: article
Abstract: and quasi-static compression tests, we experimentally validate the programmable NPR effects across varied materials and scales. Micro-DIC analysis reveals the strain localization patterns governing microscale deformation and pinpoints the critical buckling instabilities in compressed architectures. Our approach enables the inverse design of 3D lattice metamaterials composed of irregular unit cells with tailored mechanical properties, unlocking new possibilities for applications in lightweight structures, energy absorption, and beyond.
Source: Materials Horizons
DOI: 10.1039/d5mh02188j
Language: English
Subfield: Mechanical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
Awards: G1475491280, G4854776858
OpenAlex ID: W7119490645