材料科学
软机器人
偶极子
软质材料
能量收集
背景(考古学)
变形(气象学)
机器人
复合材料
纳米技术
能量(信号处理)
物理
计算机科学
人工智能
古生物学
生物
量子力学
作者
Amir Hossein Rahmati,Rong Jia,Kai Tan,Liping Liu,Xuanhe Zhao,Qian Deng,Pradeep Sharma
标识
DOI:10.1016/j.mtphys.2023.100969
摘要
Imagine a material that will produce electricity via a contactless, wireless signal. Further, we hope that this material is capable of large deformation reminiscent of soft robots and is soft enough to conform to irregular or curved geometries. This would all be possible if soft magnetoelectric materials were available; paving the way for applications such as remote drug delivery, energy harvesting, soft robots, multiple state memories among others. Here, for the first time, using the concept of hard magnetic soft matter in combination with electrets, we design and create a soft magnetoelectric material that exhibits an extremely strong, self-biased magnetoelectric effect. Further, using programmable pattern of deposition of magnetic dipoles and charges, we report a giant magnetoelectric coefficient in an ultra-soft deformable material that retains its strength even under infinitesimal external fields and at low frequencies.
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