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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.
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http://dx.doi.org/10.1002/adma.202403937 | DOI Listing |
Mater Today Bio
October 2025
Department of Reproductive Medicine, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, 710061, China.
Clinically, even in patients diagnosed with non-obstructive azoospermia, spermatogenesis may be present in some seminiferous tubules, which gives the patient hope of having biological offspring of his own. However, there is still a blank for high-precision detection technologies to support accurate diagnosis and effective treatment. In this work, we successfully developed a minimally invasive fine needle detection memristive device that features a structure composed of Ag/CH-MnO/FTO by utilizes the organic-inorganic heterojunction as functional layer.
View Article and Find Full Text PDFJ Colloid Interface Sci
September 2025
School of Electronic Information & Artificial Intelligence, Shaanxi University of Science and Technology, Xi'an 710021, China.
The integration of information memory and computing enabled by nonvolatile memristive device has been widely acknowledged as a critical solution to circumvent the von Neumann architecture limitations. Herein, the Au/NiO/CaBiTiO/FTO (CBTi/NiO) heterojunction based memristor with varying film thicknesses are demonstrated on FTO/glass substrates, and the CBTi/NiO-4 sample shows the optimal memristor characteristics with 5 × 10 stable switching cycles and 10-s resistance state retention. The electrical conduction in the low-resistance state is dominated by Ohmic behavior, while the high-resistance state exhibited characteristics consistent with the space-charge-limited conduction (SCLC) model.
View Article and Find Full Text PDFAdv Mater
September 2025
Center for High Pressure Science (CHiPS), State Key Laboratory of Metastable Materials Science and Technology, Yanshan University, Qinhuangdao, 066004, China.
Neuromorphic computing presents a promising solution for the von Neumann bottleneck, enabling energy-efficient and intelligent sensing platforms. Although 2D materials are ideal for bioinspired neuromorphic devices, achieving multifunctional synaptic operations with simple configurations and linear weight updates remains challenging. Inspired by biological axons, the in-plane anisotropy of 2D NbGeTe is exploited to develop dual electronic-optical synaptic devices.
View Article and Find Full Text PDFSmall
September 2025
Hybrid Materials Center (HMC), Sejong University, Seoul, 05006, Republic of Korea.
2D chalcogenide-based memristors have the potential to be used in artificial biological visual systems since their synaptic behavior can be optically and electrically modulated. Furthermore, 2D van der Waals materials such as SnS can be used to integrate multifunctional optoelectronic devices by employing a rational design. Here, the simulation of a human biological visual system is reported by using multifunctional optoelectronic synaptic devices.
View Article and Find Full Text PDFAdv Mater
September 2025
School of Electrical Engineering, Korea University, Seoul, 02841, Republic of Korea.
Neuromorphic computing addresses the von Neumann bottleneck by integrating memory and processing to emulate synaptic behavior. Artificial synapses enable this functionality through analog conductance modulation, low-power operation, and nanoscale integration. Halide perovskites with high ionic mobilities and solution processabilities have emerged as promising materials for such devices; however, inherent stochastic ion migration and thermal instability lead to asymmetric and nonlinear characteristics, ultimately impairing their learning and inference capabilities.
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