Exploiting spatial ionic dynamics in solid-state organic electrochemical transistors for multi-tactile sensing and processing
The human nervous system inspires the next generation of sensory and communication systems for robotics, human-machine interfaces (HMIs), biomedical applications, and artificial intelligence. Neuromorphic approaches address processing challenges; however, the vast number of sensors and their large-s...
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sg-ntu-dr.10356-1821142025-01-13T15:35:48Z Exploiting spatial ionic dynamics in solid-state organic electrochemical transistors for multi-tactile sensing and processing Hou, Kunqi Chen, Shuai John, Rohit Abraham He, Qiang Zhou, Zhongliang Mathews, Nripan Lew, Wen Siang Leong, Wei Lin School of Physical and Mathematical Sciences School of Electrical and Electronic Engineering School of Materials Science and Engineering Engineering Ion modulation Organic electrochemical transistor The human nervous system inspires the next generation of sensory and communication systems for robotics, human-machine interfaces (HMIs), biomedical applications, and artificial intelligence. Neuromorphic approaches address processing challenges; however, the vast number of sensors and their large-scale distribution complicate analog data manipulation. Conventional digital multiplexers are limited by complex circuit architecture and high supply voltage. Large sensory arrays further complicate wiring. An 'in-electrolyte computing' platform is presented by integrating organic electrochemical transistors (OECTs) with a solid-state polymer electrolyte. These devices use synapse-like signal transport and spatially dependent bulk ionic doping, achieving over 400 times modulation in channel conductance, allowing discrimination of locally random-access events without peripheral circuitry or address assignment. It demonstrates information processing from 12 tactile sensors with a single OECT output, showing clear advantages in circuit simplicity over existing all-electronic, all-digital implementations. This self-multiplexer platform offers exciting prospects for circuit-free integration with sensory arrays for high-quality, large-volume analog signal processing. Agency for Science, Technology and Research (A*STAR) Ministry of Education (MOE) Published version W.L.L. would like to acknowledge funding support from the Delta-NTU Corporate Lab through the A*STAR IAF-ICP (No. I2201E0013) and Delta Electronics Inc. as well as the Ministry of Education (MOE) under AcRF Tier 1 grant (RG118/21). This work is also supported by A*STAR AME IAF-ICP (No. I1801E0030) grant. 2025-01-08T06:22:28Z 2025-01-08T06:22:28Z 2024 Journal Article Hou, K., Chen, S., John, R. A., He, Q., Zhou, Z., Mathews, N., Lew, W. S. & Leong, W. L. (2024). Exploiting spatial ionic dynamics in solid-state organic electrochemical transistors for multi-tactile sensing and processing. Advanced Science, 11(43), e2405902-. https://dx.doi.org/10.1002/advs.202405902 2198-3844 https://hdl.handle.net/10356/182114 10.1002/advs.202405902 39331857 2-s2.0-85205221682 43 11 e2405902 en I2201E0013 RG118/21 I1801E0030 Advanced Science © 2024 The Author(s). Advanced Science published by Wiley-VCH GmbH. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. application/pdf |
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Engineering Ion modulation Organic electrochemical transistor Hou, Kunqi Chen, Shuai John, Rohit Abraham He, Qiang Zhou, Zhongliang Mathews, Nripan Lew, Wen Siang Leong, Wei Lin Exploiting spatial ionic dynamics in solid-state organic electrochemical transistors for multi-tactile sensing and processing |
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The human nervous system inspires the next generation of sensory and communication systems for robotics, human-machine interfaces (HMIs), biomedical applications, and artificial intelligence. Neuromorphic approaches address processing challenges; however, the vast number of sensors and their large-scale distribution complicate analog data manipulation. Conventional digital multiplexers are limited by complex circuit architecture and high supply voltage. Large sensory arrays further complicate wiring. An 'in-electrolyte computing' platform is presented by integrating organic electrochemical transistors (OECTs) with a solid-state polymer electrolyte. These devices use synapse-like signal transport and spatially dependent bulk ionic doping, achieving over 400 times modulation in channel conductance, allowing discrimination of locally random-access events without peripheral circuitry or address assignment. It demonstrates information processing from 12 tactile sensors with a single OECT output, showing clear advantages in circuit simplicity over existing all-electronic, all-digital implementations. This self-multiplexer platform offers exciting prospects for circuit-free integration with sensory arrays for high-quality, large-volume analog signal processing. |
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School of Physical and Mathematical Sciences |
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School of Physical and Mathematical Sciences Hou, Kunqi Chen, Shuai John, Rohit Abraham He, Qiang Zhou, Zhongliang Mathews, Nripan Lew, Wen Siang Leong, Wei Lin |
format |
Article |
author |
Hou, Kunqi Chen, Shuai John, Rohit Abraham He, Qiang Zhou, Zhongliang Mathews, Nripan Lew, Wen Siang Leong, Wei Lin |
author_sort |
Hou, Kunqi |
title |
Exploiting spatial ionic dynamics in solid-state organic electrochemical transistors for multi-tactile sensing and processing |
title_short |
Exploiting spatial ionic dynamics in solid-state organic electrochemical transistors for multi-tactile sensing and processing |
title_full |
Exploiting spatial ionic dynamics in solid-state organic electrochemical transistors for multi-tactile sensing and processing |
title_fullStr |
Exploiting spatial ionic dynamics in solid-state organic electrochemical transistors for multi-tactile sensing and processing |
title_full_unstemmed |
Exploiting spatial ionic dynamics in solid-state organic electrochemical transistors for multi-tactile sensing and processing |
title_sort |
exploiting spatial ionic dynamics in solid-state organic electrochemical transistors for multi-tactile sensing and processing |
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2025 |
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https://hdl.handle.net/10356/182114 |
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