During the operation of synaptic devices based on traditional conductive filament (CF) models, the formation and dissolution of CFs are usually uncertain. Moreover, when the device is operated for a long time, the CFs may dissolve due to both the Joule heat generated by the device itself and the thermal coupling between the devices. These problems seriously reduce the reliability and stability of the synaptic device. Here, an artificial synapse device based on polyimide-molybdenum disulfide quantum dot (MoS QD) nanocomposites is presented. Research has shown that MoS QDs doped into the active layer can effectively induce the reduction of Ag ions into Ag atoms, leading to the formation of Ag clusters and thereby achieving control over the growth of the CFs. Therefore, the device is capable of stably realizing various basic synaptic functions. Moreover, the long-term potentiation/long-term depression (LTP/LTD) of this device shows good linearity. In addition, due to the change in the shape of the CFs, the highly integrated devices with a three-dimensional (3D) stacked structure can operate normally even in a high-temperature environment of 110 °C. Finally, the synaptic characteristics of the devices on learning and inference tests show that their recognition rates are approximately 90.75% (room temperature) and 90.63% (110 °C).
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http://dx.doi.org/10.1021/acsami.4c04957 | DOI Listing |
ACS Appl Mater Interfaces
January 2025
The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University/Hunan Cancer Hospital, Changsha 410013, Hunan, People's Republic of China.
In modern computing, the Von Neumann architecture faces challenges such as the memory bottleneck, hindering efficient processing of large datasets and concurrent programs. Neuromorphic computing, inspired by the brain's architecture, emerges as a promising alternative, offering unparalleled computational power while consuming less energy. Artificial synaptic devices play a crucial role in this paradigm shift.
View Article and Find Full Text PDFLight Sci Appl
January 2025
School of Photovoltaic and Renewable Energy Engineering, University of New South Wales (UNSW Sydney), Kensington, NSW, Australia.
A unique optoelectronic synaptic device has been developed, leveraging the negative photoconductance property of a single-crystal material system called CsCoCl. This device exhibits a simultaneous volatile resistive switching response and sensitivity to optical stimuli, positioning CsCoCl as a promising candidate for optically enhanced neuromorphic applications.
View Article and Find Full Text PDFACS Nano
January 2025
Department of Materials Science and Engineering, University of North Texas, Denton, Texas 76207, United States.
Two-dimensional molybdenum ditelluride (2D MoTe) is an interesting material for artificial synapses due to its unique electronic properties and phase tunability in different polymorphs 2H/1T'. However, the growth of stable and large-scale 2D MoTe on a CMOS-compatible Si/SiO substrate remains challenging because of the high growth temperature and impurity-involved transfer process. We developed a large-scale MoTe film on a Si/SiO wafer by simple sputtering followed by lithium-ion intercalation and applied it to artificial synaptic devices.
View Article and Find Full Text PDFACS Omega
December 2024
School of Physics and Astronomy, University of Nottingham, Nottingham NG7 2RD, U.K.
Small
January 2025
School of Advanced Materials Science and Engineering, Sungkyunkwan University, Suwon, 16419, Republic of Korea.
Homeostasis is essential in biological neural networks, optimizing information processing and experience-dependent learning by maintaining the balance of neuronal activity. However, conventional two-terminal memristors have limitations in implementing homeostatic functions due to the absence of global regulation ability. Here, three-terminal oxide memtransistor-based homeostatic synapses are demonstrated to perform highly linear synaptic weight update and enhanced accuracy in neuromorphic computing.
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