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Hydrogel-Based Artificial Synapses for Sustainable Neuromorphic Electronics

dc.contributor.authorYan, Jiongyien
dc.contributor.authorArmstrong, James P.K.en
dc.contributor.authorScarpa, Fabrizioen
dc.contributor.authorPerriman, Adam W.en
dc.date.accessioned2025-05-23T15:24:12Z
dc.date.available2025-05-23T15:24:12Z
dc.date.issued2024-09-19en
dc.description.abstractHydrogels find widespread applications in biomedicine because of their outstanding biocompatibility, biodegradability, and tunable material properties. Hydrogels can be chemically functionalized or reinforced to respond to physical or chemical stimulation, which opens up new possibilities in the emerging field of intelligent bioelectronics. Here, the state-of-the-art in functional hydrogel-based transistors and memristors is reviewed as potential artificial synapses. Within these systems, hydrogels can serve as semisolid dielectric electrolytes in transistors and as switching layers in memristors. These synaptic devices with volatile and non-volatile resistive switching show good adaptability to external stimuli for short-term and long-term synaptic memory effects, some of which are integrated into synaptic arrays as artificial neurons; although, there are discrepancies in switching performance and efficacy. By comparing different hydrogels and their respective properties, an outlook is provided on a new range of biocompatible, environment-friendly, and sustainable neuromorphic hardware. How potential energy-efficient information storage and processing can be achieved using artificial neural networks with brain-inspired architecture for neuromorphic computing is described. The development of hydrogel-based artificial synapses can significantly impact the fields of neuromorphic bionics, biometrics, and biosensing.en
dc.description.sponsorshipThe work has been funded by the ERC\u20102020\u2010AdG 101020715 NEUROMETA project. J.P.K.A. acknowledges funding from a UKRI Future Leaders Fellowship (MR/V024965/1). A.W.P. acknowledges support from the UKRI Future Leaders Fellowship (MR/ S016430/1). The work has been funded by the ERC-2020-AdG 101020715 NEUROMETA project. J.P.K.A. acknowledges funding from a UKRI Future Leaders Fellowship (MR/V024965/1). A.W.P. acknowledges support from the UKRI Future Leaders Fellowship (MR/ S016430/1).en
dc.description.statusPeer-revieweden
dc.identifier.issn0935-9648en
dc.identifier.otherPubMed:39087845en
dc.identifier.otherORCID:/0000-0003-2205-9364/work/184101127en
dc.identifier.scopus85200129481en
dc.identifier.urihttp://www.scopus.com/inward/record.url?scp=85200129481&partnerID=8YFLogxKen
dc.identifier.urihttps://hdl.handle.net/1885/733752554
dc.language.isoenen
dc.rightsPublisher Copyright: © 2024 The Author(s). Advanced Materials published by Wiley-VCH GmbH.en
dc.sourceAdvanced Materialsen
dc.subjectartificial synapsesen
dc.subjecthydrogelsen
dc.subjectmemristorsen
dc.subjectneuromorphic computingen
dc.subjectresistive switching transistorsen
dc.titleHydrogel-Based Artificial Synapses for Sustainable Neuromorphic Electronicsen
dc.typeJournal articleen
dspace.entity.typePublicationen
local.contributor.affiliationYan, Jiongyi; University of Bristolen
local.contributor.affiliationArmstrong, James P.K.; University of Bristolen
local.contributor.affiliationScarpa, Fabrizio; University of Bristolen
local.contributor.affiliationPerriman, Adam W.; Biological Chemistry, Research School of Chemistry, ANU College of Science and Medicine, The Australian National Universityen
local.identifier.citationvolume36en
local.identifier.doi10.1002/adma.202403937en
local.identifier.pure8e6d865a-2268-4607-9147-8591bb9e39a1en
local.identifier.urlhttps://www.scopus.com/pages/publications/85200129481en
local.type.statusPublisheden

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