变形
模块化设计
超材料
可编程逻辑器件
材料科学
实现(概率)
电子工程
逻辑门
计算机硬件
计算机科学
智能材料
可编程逻辑控制器
桥接(联网)
可重构性
现场可编程门阵列
可扩展性
软机器人
逻辑综合
纳米机电系统
工程类
嵌入式系统
计算机体系结构
智能传感器
灵活性(工程)
简单可编程逻辑器件
数字光处理
作者
Roshira Premadasa,Zhe Wan,Pouya Almasi,Amir H. Alavi,Qianyun Zhang
出处
期刊:Materials horizons
[Royal Society of Chemistry]
日期:2025-12-23
卷期号:13 (5): 2275-2293
被引量:2
摘要
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.
科研通智能强力驱动
Strongly Powered by AbleSci AI