<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Shin YE</submitter><funding>National Research Foundation (NRF) of Korea</funding><pagination>e2105423</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC8948547</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>9(9)</volume><pubmed_abstract>Multifunctional electronic skins have attracted considerable attention for soft electronics including humanoid robots, wearable devices, and health monitoring systems. Simultaneous detection of multiple stimuli in a single self-powered device is desired to simplify artificial somatosensory systems. Here, inspired by the structure and function of human skin, an ultrasensitive self-powered multimodal sensor is demonstrated based on an interlocked ferroelectric copolymer microstructure. The triboelectric and pyroelectric effects of ferroelectric microstructures enable the simultaneous detection of mechanical and thermal stimuli in a spacer-free single device, overcoming the drawbacks of conventional devices, including complex fabrication, structural complexity, and high-power consumption. Furthermore, the interlocked microstructure induces electric field localization during ferroelectric polarization, leading to enhanced output performance. The multimodal tactile sensor provides ultrasensitive pressure and temperature detection capability (2.2 V kPa&lt;sup>-1&lt;/sup> , 0.27 nA °C&lt;sup>-1&lt;/sup> ) over a broad range (0.1-98 kPa, -20 °C &lt; ΔT &lt; 30 °C). Furthermore, multiple simultaneous stimuli can be distinguished based on different response times of triboelectric and pyroelectric effects. The remarkable performance of this sensor enables real-time monitoring of pulse pressure, acoustic wave detection, surface texture analysis, and profiling of multiple stimuli.</pubmed_abstract><journal>Advanced science (Weinheim, Baden-Wurttemberg, Germany)</journal><pubmed_title>Ultrasensitive Multimodal Tactile Sensors with Skin-Inspired Microstructures through Localized Ferroelectric Polarization.</pubmed_title><pmcid>PMC8948547</pmcid><funding_grant_id>2021R1A2C3009222</funding_grant_id><pubmed_authors>Park J</pubmed_authors><pubmed_authors>Shin YE</pubmed_authors><pubmed_authors>Park YJ</pubmed_authors><pubmed_authors>Lee Y</pubmed_authors><pubmed_authors>Ghosh SK</pubmed_authors><pubmed_authors>Ko H</pubmed_authors></additional><is_claimable>false</is_claimable><name>Ultrasensitive Multimodal Tactile Sensors with Skin-Inspired Microstructures through Localized Ferroelectric Polarization.</name><description>Multifunctional electronic skins have attracted considerable attention for soft electronics including humanoid robots, wearable devices, and health monitoring systems. Simultaneous detection of multiple stimuli in a single self-powered device is desired to simplify artificial somatosensory systems. Here, inspired by the structure and function of human skin, an ultrasensitive self-powered multimodal sensor is demonstrated based on an interlocked ferroelectric copolymer microstructure. The triboelectric and pyroelectric effects of ferroelectric microstructures enable the simultaneous detection of mechanical and thermal stimuli in a spacer-free single device, overcoming the drawbacks of conventional devices, including complex fabrication, structural complexity, and high-power consumption. Furthermore, the interlocked microstructure induces electric field localization during ferroelectric polarization, leading to enhanced output performance. The multimodal tactile sensor provides ultrasensitive pressure and temperature detection capability (2.2 V kPa&lt;sup>-1&lt;/sup> , 0.27 nA °C&lt;sup>-1&lt;/sup> ) over a broad range (0.1-98 kPa, -20 °C &lt; ΔT &lt; 30 °C). Furthermore, multiple simultaneous stimuli can be distinguished based on different response times of triboelectric and pyroelectric effects. The remarkable performance of this sensor enables real-time monitoring of pulse pressure, acoustic wave detection, surface texture analysis, and profiling of multiple stimuli.</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Mar</publication><modification>2025-05-18T12:06:30.403Z</modification><creation>2025-05-18T12:06:30.403Z</creation></dates><accession>S-EPMC8948547</accession><cross_references><pubmed>35072354</pubmed><doi>10.1002/advs.202105423</doi></cross_references></HashMap>