Digital shape-morphing thermo-mechanical metamaterials

There is an ongoing pursuit to develop intelligent mechanical systems with multifunctional capabilities. These capabilities include sensing external stimuli, actuating and adapting in response, and processing and storing logical information. Enabling such functions opens new avenues for autonomous systems across adaptive structures, soft robotics, medical devices, and consumer electronics. Here, we introduce digital shape-morphing thermo-mechanical metamaterials (DSTMs) capable of sensing thermal and mechanical stimuli, deploying and adapting through shape morphing, and performing digital computation. These functionalities are achieved by integrating mechanical metamaterials with temperature-responsive components, modular designs, and digital electronics. DSTMs leverage engineered mechanical behaviors to undergo temperature-induced autonomous deformations, enabling programmable shape morphing and morphology-based computation. We design DSTM unit cells as modular building blocks to achieve programmable shape morphing and customized logic gate constructions. Theoretical, numerical, and experimental studies validate the performance of DSTMs. Logical input storage and digital output realization are achieved through mechanical and thermal processing techniques, enabling implementation of digital logic gates including AND, NAND, OR, NOR, XOR, and XNOR. Furthermore, temperature-induced sequential and non-sequential programmable shape morphing, shape recoverability, and modal bifurcation functionalities of the DSTMs are demonstrated.

Authors

Institutions

Publication Details

Journal
Materials Horizons
Published
2025-12-23
DOI
https://doi.org/10.1039/d5mh02021b
Primary Topic
Advanced Materials and Mechanics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Digital shape-morphing thermo-mechanical metamaterials

Zhe Wan, Roshira Premadasa, Qianyun Zhang, Amir H. Alavi et al.
Materials Horizons
Advanced Materials and Mechanics
article

Digital shape-morphing thermo-mechanical metamaterials

Zhe Wan, Roshira Premadasa, Qianyun Zhang, Amir H. Alavi, Pouya Almasi
article en

Abstract

There is an ongoing pursuit to develop intelligent mechanical systems with multifunctional capabilities. These capabilities include sensing external stimuli, actuating and adapting in response, and processing and storing logical information. Enabling such functions opens new avenues for autonomous systems across adaptive structures, soft robotics, medical devices, and consumer electronics. Here, we introduce digital shape-morphing thermo-mechanical metamaterials (DSTMs) capable of sensing thermal and mechanical stimuli, deploying and adapting through shape morphing, and performing digital computation. These functionalities are achieved by integrating mechanical metamaterials with temperature-responsive components, modular designs, and digital electronics. DSTMs leverage engineered mechanical behaviors to undergo temperature-induced autonomous deformations, enabling programmable shape morphing and morphology-based computation. We design DSTM unit cells as modular building blocks to achieve programmable shape morphing and customized logic gate constructions. Theoretical, numerical, and experimental studies validate the performance of DSTMs. Logical input storage and digital output realization are achieved through mechanical and thermal processing techniques, enabling implementation of digital logic gates including AND, NAND, OR, NOR, XOR, and XNOR. Furthermore, temperature-induced sequential and non-sequential programmable shape morphing, shape recoverability, and modal bifurcation functionalities of the DSTMs are demonstrated.

Materials HorizonsVol. 13(5)
New Mexico State University (US), University of Pittsburgh (US)
Affordable and clean energy
Openalex Percentile: Top 45%
Advanced Materials and Mechanics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.