DOI: 10.5061/dryad.dz08kps7k
title: Bio-inspired organic electrosense transistor for impalpable perception

description: Artificial sense technologies predominantly rely on visual and tactile
 input, which often prove inadequate in obscured or opaque environments.
 Inspired by the natural electrosensory capabilities of electrogenic
 fishes, we introduce an organic electrosense transistor designed to detect
 electric fields generated by nearby objects, facilitating the creation of
 impalpable perception systems. Unlike traditional sensors, our
 electrosense transistor perceives bipolar electric fields with high
 sensitivity and stability. We employ compact models and device simulations
 to elucidate the mechanisms of charge induction and transport within
 organic electrosense transistors when exposed to spatial electric fields.
 Demonstrating its practical utility, we show that robots equipped with our
 electrosense transistor can successfully navigate and detect concealed
 objects without requiring direct contact. This work not only advances the
 understanding of charge dynamics in electrosensory systems but also
 establishes a platform for developing highly sensitive, non-invasive
 artificial sensing technologies applicable in surveillance,
 search-and-rescue, and other challenging environments.
description: # Bio-inspired organic electrosense transistor for impalpable perception
 [https://doi.org/10.5061/dryad.dz08kps7k](https://doi.org/10.5061/dryad.dz08kps7k) ## Description of the data and file structure ### Dataset Title Bio-inspired organic electrosense transistor for impalpable perception ### Date of Data Collection 2020-2024 ### Contributors Cong Wang: School of Materials Science and Engineering, Nanyang Technological University Jiaofu Li: School of Materials Science and Engineering, Nanyang Technological University Xufan Li: Institute of Microelectronics, Chinese Academy of Sciences Mingxi Chen: Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR) Wenping Hu: Department of Chemistry, Institute of Molecular Aggregation Science, Tianjin University Xiaodong Chen: School of Materials Science and Engineering, Nanyang Technological University ### Overview This data source is the raw data of the main figure in the aricle, so that it can be used by readers and other researchers to better understand the organic sensing transistor. We will give the data that is not easy to read directly from the Figure separately. ### Data Formats **Excel Files:** * **.xlsx/.csv**: Used to organize and display data summaries and metadata, which may include measured time and current, simulated induced charge surface density, energy, total donor trap density. * Data file "Fig. 2E" represents simulated induced surface charge density of devices with different permittivity. * Data file "Fig. 3H" represents simulated trap density of states at the grain boundary of organic cyratlline films. * Data file "Fig. 3I" represents time-dependent fitting model shows that increasing the crystallinity enables the device to transition from a transient to a steady response. * Data file "Fig. 4A and Fig. 4B" represent dynamic current responses of the electrosense transistor with stepwise electric field strength for negative (A) and positive electric field (B), respectively. * Data file "Fig. 4C and Fig. 4D" represent response currents with electric field strength show a positive correlation in electrosense transistor. * Data file "Fig. 4F" represents current response for negatively charged (-) PTFE at different distances from 325 mm to 5 mm to the electrosense transistor. * Data file "Fig. 4J" represents key performance indicators of electrosense transistor compared to the resistor-type sensor and the sensing electrode. * Data file "Fig. 5K" represents feedback signals for robots with electrosensory systems crawling from left to right in search of an orange sphere hidden in an opaque box.