TY - JOUR
T1 - Hydrogel-Based Artificial Synapses for Sustainable Neuromorphic Electronics
AU - Yan, Jiongyi
AU - Armstrong, James P.K.
AU - Scarpa, Fabrizio
AU - Perriman, Adam W.
N1 - Publisher Copyright:
© 2024 The Author(s). Advanced Materials published by Wiley-VCH GmbH.
PY - 2024/9/19
Y1 - 2024/9/19
N2 - Hydrogels 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.
AB - Hydrogels 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.
KW - artificial synapses
KW - hydrogels
KW - memristors
KW - neuromorphic computing
KW - resistive switching transistors
UR - http://www.scopus.com/inward/record.url?scp=85200129481&partnerID=8YFLogxK
U2 - 10.1002/adma.202403937
DO - 10.1002/adma.202403937
M3 - Review article
C2 - 39087845
AN - SCOPUS:85200129481
SN - 0935-9648
VL - 36
JO - Advanced Materials
JF - Advanced Materials
IS - 38
M1 - 2403937
ER -