Toggle Main Menu Toggle Search

Open Access padlockePrints

Geometry-Encoded Programmable Mechanics in Single-Material Dual-Phase Metamaterials

Lookup NU author(s): Dr Xinwei LiORCiD, Dr Qing Li

Downloads


Licence

This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

© 2026 The Author(s). Small published by Wiley-VCH GmbH. Programmable metamaterials that exhibit prescribed mechanical responses and adaptive deformation under external loading are highly desirable for multifunctional engineering applications. However, most existing designs rely on multi-material systems, which pose significant fabrication challenges with conventional additive manufacturing. Inspired by the unique soft-hard heterogeneous architecture of nacre, this study introduces a novel class of dual-phase (DP) metamaterials where spatially encoded soft and hard phases are realized through bending-dominated and stretching-dominated lattice architectures, respectively. By systematically varying the spatial coding patterns of soft-hard phases, representative DP metamaterials are shown to exhibit programmable nonlinear mechanical responses and tailored failure processes, achieved through geometry-based mechanical encoding governed by phase interactions and internal stress redistribution. Notably, the engineered sequenced failure processes and phase-coupling-induced strengthening effects lead to significantly enhanced energy absorption compared with the constituent architectures, while enabling customizable plateau stress. To efficiently explore the vast design space of DP metamaterials, a data-driven framework is then developed to model the relationship between spatial encodings and nonlinear mechanical responses. The trained model enables rapid and accurate inverse design of DP metamaterials matching the complex target responses for multifunctional applications. Overall, this work establishes a new geometry-based strategy for achieving highly programmable mechanical responses in single-material metamaterials.


Publication metadata

Author(s): Zhao M, Qiu N, Zhang X, Peng B, Zeng Z, Li X, Li Q

Publication type: Article

Publication status: Published

Journal: Small

Year: 2026

Pages: Epub ahead of print

Online publication date: 24/07/2026

Acceptance date: 28/06/2026

Date deposited: 03/08/2026

ISSN (print): 1613-6810

ISSN (electronic): 1613-6829

Publisher: John Wiley and Sons Inc.

URL: https://doi.org/10.1002/smll.74687

DOI: 10.1002/smll.74687

Data Access Statement: The data that support the findings of this study are available on request from the corresponding author.


Altmetrics

Altmetrics provided by Altmetric


Funding

Funder referenceFunder name
Fundamental Research Funds for the Central Universities (No. ZYGX2024XJ015)
National Natural Science Foundation of China (52505248)
Sichuan Science and Technology Program (No. 2025ZNSFSC1272)

Share