Janus-like Jagged Structure with Nanocrystals for Self-Sorting Wearable Tactile Sensor

Byung Ku Jung, Sanghyun Jeon, Ho Kun Woo, Taesung Park, Junhyuk Ahn, Junsung Bang, Sang Yeop Lee, Yong Min Lee, Soong Ju Oh

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)


In this study, a self-sorting sensor was developed with the ability to distinguish between different pressure regimes and translate the pressure to electrical signals. Specifically, the self-sorting sensor can distinguish between soft and hard pressure like the human skin, without any software assistance and complicated circuits. To achieve the self-sorting property, Janus-like jagged structures were prepared via an all-solution process of spontaneous chemical patterning; they comprised electrically semi-insulating vertices and highly conductive valleys. This unique structure facilitates the detection and determination of the intensities and types of pressure by providing a significant gap between the current levels of two types of states, similar to the function of fibers in the human tactile system. The fabricated sensors also exhibit high sensitivity and durability as well as low power consumption, as demonstrated by the electronic skin and ternary Morse signal applications. Compared with conventional wearable pressure sensors, this sensor can detect signals without additional programming; thus, it is highly suitable for delay-sensitive, energy-efficient sensor applications such as driverless vehicles, autonomous artificial intelligence technology, and prosthetic devices.

Original languageEnglish
Pages (from-to)6394-6403
Number of pages10
JournalACS Applied Materials and Interfaces
Issue number5
Publication statusPublished - 2021 Feb 10


  • interface engineering
  • ligand engineering
  • nanocrystal
  • self-sorting
  • solution processes
  • tactile sensor
  • wearable pressure sensor

ASJC Scopus subject areas

  • Materials Science(all)


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