Nature Communications (Sep 2022)
Soft shape-programmable surfaces by fast electromagnetic actuation of liquid metal networks
- Xinchen Ni,
- Haiwen Luan,
- Jin-Tae Kim,
- Sam I. Rogge,
- Yun Bai,
- Jean Won Kwak,
- Shangliangzi Liu,
- Da Som Yang,
- Shuo Li,
- Shupeng Li,
- Zhengwei Li,
- Yamin Zhang,
- Changsheng Wu,
- Xiaoyue Ni,
- Yonggang Huang,
- Heling Wang,
- John A. Rogers
Affiliations
- Xinchen Ni
- Querrey Simpson Institute for Bioelectronics, Northwestern University
- Haiwen Luan
- Querrey Simpson Institute for Bioelectronics, Northwestern University
- Jin-Tae Kim
- Querrey Simpson Institute for Bioelectronics, Northwestern University
- Sam I. Rogge
- Querrey Simpson Institute for Bioelectronics, Northwestern University
- Yun Bai
- Querrey Simpson Institute for Bioelectronics, Northwestern University
- Jean Won Kwak
- Querrey Simpson Institute for Bioelectronics, Northwestern University
- Shangliangzi Liu
- Querrey Simpson Institute for Bioelectronics, Northwestern University
- Da Som Yang
- Querrey Simpson Institute for Bioelectronics, Northwestern University
- Shuo Li
- Querrey Simpson Institute for Bioelectronics, Northwestern University
- Shupeng Li
- Department of Mechanical Engineering, Northwestern University
- Zhengwei Li
- Querrey Simpson Institute for Bioelectronics, Northwestern University
- Yamin Zhang
- Querrey Simpson Institute for Bioelectronics, Northwestern University
- Changsheng Wu
- Querrey Simpson Institute for Bioelectronics, Northwestern University
- Xiaoyue Ni
- Querrey Simpson Institute for Bioelectronics, Northwestern University
- Yonggang Huang
- Querrey Simpson Institute for Bioelectronics, Northwestern University
- Heling Wang
- Department of Materials Science and Engineering, Northwestern University
- John A. Rogers
- Querrey Simpson Institute for Bioelectronics, Northwestern University
- DOI
- https://doi.org/10.1038/s41467-022-31092-y
- Journal volume & issue
-
Vol. 13,
no. 1
pp. 1 – 9
Abstract
Low modulus materials that can change shape in response to external stimuli are promising for a wide range of applications. The authors here introduce a shape-reprogrammable construct, based on liquid metal microfluidic networks and electromagnetic actuation, that supports a unique collection of capabilities.
