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Intelligent Shape-Morphing Micromachines

Qianying Chen, Pengyu Lv, Jianyong Huang, Tian‐Yun Huang, Huiling Duan

2021Research11 citationsDOIOpen Access PDF

Abstract

Intelligent machines are capable of switching shape configurations to adapt to changes in dynamic environments and thus have offered the potentials in many applications such as precision medicine, lab on a chip, and bioengineering. Even though the developments of smart materials and advanced micro/nanomanufacturing are flouring, how to achieve intelligent shape-morphing machines at micro/nanoscales is still significantly challenging due to the lack of design methods and strategies especially for small-scale shape transformations. This review is aimed at summarizing the principles and methods for the construction of intelligent shape-morphing micromachines by introducing the dimensions, modes, realization methods, and applications of shape-morphing micromachines. Meanwhile, this review highlights the advantages and challenges in shape transformations by comparing micromachines with the macroscale counterparts and presents the future outlines for the next generation of intelligent shape-morphing micromachines.

Topics & Concepts

MorphingNanomanufacturingRealization (probability)EngineeringComputer scienceArtificial intelligenceNanotechnologyMaterials scienceStatisticsMathematicsAdvanced Materials and MechanicsAdvanced Sensor and Energy Harvesting MaterialsMicro and Nano Robotics
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