Shape-memory effect in twisted ferroic nanocomposites

Donghoon Kim, Minsoo Kim, Steffen Reidt, Hyeon Han, Ali Baghizadeh, Peng Zeng, Hongsoo Choi, Josep Puigmartí-Luis, Morgan Trassin, Bradley J. Nelson, Xiang-Zhong Chen () and Salvador Pané ()
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Donghoon Kim: ETH Zurich
Minsoo Kim: ETH Zurich
Steffen Reidt: IBM Research Zurich
Hyeon Han: Max Plank Institute of Microstructure Physics
Ali Baghizadeh: ETH Zurich
Peng Zeng: ETH Zurich
Hongsoo Choi: Daegu Gyeong-buk Institute of Science and Technology (DGIST)
Josep Puigmartí-Luis: University of Barcelona (UB)
Morgan Trassin: ETH Zurich
Bradley J. Nelson: ETH Zurich
Xiang-Zhong Chen: ETH Zurich
Salvador Pané: ETH Zurich

Nature Communications, 2023, vol. 14, issue 1, 1-8

Abstract: Abstract The shape recovery ability of shape-memory alloys vanishes below a critical size (~50 nm), which prevents their practical applications at the nanoscale. In contrast, ferroic materials, even when scaled down to dimensions of a few nanometers, exhibit actuation strain through domain switching, though the generated strain is modest (~1%). Here, we develop freestanding twisted architectures of nanoscale ferroic oxides showing shape-memory effect with a giant recoverable strain (>8%). The twisted geometrical design amplifies the strain generated during ferroelectric domain switching, which cannot be achieved in bulk ceramics or substrate-bonded thin films. The twisted ferroic nanocomposites allow us to overcome the size limitations in traditional shape-memory alloys and open new avenues in engineering large-stroke shape-memory materials for small-scale actuating devices such as nanorobots and artificial muscle fibrils.

Date: 2023
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DOI: 10.1038/s41467-023-36274-w

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