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Superelongation of Liquid Metal.

Xiangpeng LiLu CaoBing XiaoFangxia LiJunhui YangJie HuTim ColeYuxin ZhangMingkui ZhangJiahao ZhengShiwu ZhangWeihua LiLining SunXiaoqian ChenShi-Yang Tang
Published in: Advanced science (Weinheim, Baden-Wurttemberg, Germany) (2022)
The ability to control interfacial tension electrochemically is uniquely available for liquid metals (LMs), in particular gallium-based LM alloys. This imparts them with excellent locomotion and deformation capabilities and enables diverse applications. However, electrochemical oxidation of LM is a highly dynamic process, which often induces Marangoni instabilities that make it almost impossible to elongate LM and manipulate its morphology directly and precisely on a 2D plane without the assistance of other patterning methods. To overcome these limitations, this study investigates the use of an LM-iron (Fe) particle mixture that is capable of suppressing instabilities during the electrochemical oxidation process, thereby allowing for superelongation of the LM core of the mixture to form a thin wire that is tens of times of its original length. More importantly, the elongated LM core can be manipulated freely on a 2D plane to form complex patterns. Eliminating Marangoni instabilities also allows for the effective spreading and filling of the LM-Fe mixture into molds with complex structures and small features. Harnessing these excellent abilities, a channel-less patterning method for fabricating elastomeric wearable sensors is demonstrated to detect motions. This study shows the potential for developing functional and flexible structures of LM with superior performance.
Keyphrases
  • ionic liquid
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  • big data
  • deep learning
  • artificial intelligence
  • molecular dynamics simulations
  • label free
  • heavy metals
  • visible light
  • metal organic framework