Two-Dimensional Zeolitic Imidazolate Framework Based Optoelectronic Synaptic Transistor DOI
Ziqi Jia,

Wen-Min Zhong,

Kui Zhou

et al.

The Journal of Physical Chemistry Letters, Journal Year: 2025, Volume and Issue: unknown, P. 3012 - 3021

Published: March 17, 2025

Neuromorphic computing systems that integrate memory and computation offer a solution to the limitations of traditional von Neumann architectures. Optoelectronic synaptic transistors, responding both optical electrical signals, enable multifunctional operation with low power consumption. However, challenges such as short data retention processing efficiency remain. This study presents an optoelectronic transistor utilizing two-dimensional (2D) MoS2, 2D zeolitic imidazolate framework (ZIF) Zn2(bim)4, gold (Au) nanoparticles (NPs) semiconductor, tunneling layer, floating gate materials, respectively. By adjusting layer thickness, charge-blocking capacity Zn2(bim)4 is modulated, improving long-term retention. The properties MoS2 charge-trapping ability Au NPs mimic behaviors postsynaptic current (PSC), potentiation (LTP), transition from short-term (STM-LTM). device can also be integrated into artificial neural network (ANN) for smart healthcare applications, achieving 88.1% accuracy in electrocardiogram classification through dual-mode stimulation.

Language: Английский

MXene‐Based Flexible Memory and Neuromorphic Devices DOI Creative Commons
Yan Li,

Guanglong Ding,

Yongbiao Zhai

et al.

Small, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 31, 2025

As the age of Internet Things (IoTs) unfolds, along with rapid advancement artificial intelligence (AI), traditional von Neumann-based computing systems encounter significant challenges in handling vast amounts data storage and processing. Bioinspired neuromorphic strategies offer a promising solution, characterized by features in-memory computing, massively parallel processing, event-driven operations. Compared to rigid silicon-based devices, flexible devices are lightweight, thin, highly stretchable, garnering considerable attention. Among materials utilized these transition metal carbides/nitrides (MXenes) particularly noteworthy their excellent flexibility, exceptional conductivity, hydrophilicity, which confer remarkable properties upon devices. Herein, comprehensive discussion is provided on applications MXenes memory This review covers basic principles device structures common parameters emerging as well synthesis, functionalization methods, distinct MXenes. The remaining future opportunities relevant also presented. can serve valuable reference lay cornerstone for practical feasible implementation technologies.

Language: Английский

Citations

1
Optically-modulated and mechanically-flexible MXene artificial synapses with visible-to-near IR broadband-responsiveness DOI
Chung Won Lee, Seung Ju Kim,

Han-Kyun Shin

et al.

Nano Today, Journal Year: 2025, Volume and Issue: 61, P. 102633 - 102633

Published: Jan. 10, 2025

Language: Английский

Citations

0
An innovative biomimetic technology: Memristors mimic human sensation DOI
Kun Wang,

Mengna Wang,

Bai Sun

et al.

Nano Energy, Journal Year: 2025, Volume and Issue: unknown, P. 110698 - 110698

Published: Jan. 1, 2025

Language: Английский

Citations

0
Multifunctional Artificial Electric Synapse of MoSe2-Based Memristor toward Neuromorphic Application DOI

Yumo Li,

Hao Sun,

Langchun Yue

et al.

The Journal of Physical Chemistry Letters, Journal Year: 2025, Volume and Issue: unknown, P. 1175 - 1183

Published: Jan. 23, 2025

Research on memristive devices to seamlessly integrate and replicate the dynamic behaviors of biological synapses will illuminate mechanisms underlying parallel processing information storage in human brain, thereby affording novel insights for advancement artificial intelligence. Here, an electric synapse is demonstrated a one-step Mo-selenized MoSe2 memristor, having not only long-term stable resistive switching characteristics (reset 0.51 ± 0.01 V, on/off ratio > 30, retention 103 s) but also diverse electrically adjustable synaptic behaviors, including multilevel conductance (synaptic weight), excitatory postsynaptic current (EPSC), paired-pulse facilitation (PPF), potentiation/depression (LTP/D), spike-timing-dependent plasticity (STDP), especially activity-dependent (ADSP). More significantly, neuromorphic functions both image edge extraction perception imitation have been successfully achieved. These results present promising design toward advancing systems with integrated brain-like neural sensing, memory, recognition.

Language: Английский

Citations

0
Two-Dimensional Zeolitic Imidazolate Framework Based Optoelectronic Synaptic Transistor DOI
Ziqi Jia,

Wen-Min Zhong,

Kui Zhou

et al.

The Journal of Physical Chemistry Letters, Journal Year: 2025, Volume and Issue: unknown, P. 3012 - 3021

Published: March 17, 2025

Neuromorphic computing systems that integrate memory and computation offer a solution to the limitations of traditional von Neumann architectures. Optoelectronic synaptic transistors, responding both optical electrical signals, enable multifunctional operation with low power consumption. However, challenges such as short data retention processing efficiency remain. This study presents an optoelectronic transistor utilizing two-dimensional (2D) MoS2, 2D zeolitic imidazolate framework (ZIF) Zn2(bim)4, gold (Au) nanoparticles (NPs) semiconductor, tunneling layer, floating gate materials, respectively. By adjusting layer thickness, charge-blocking capacity Zn2(bim)4 is modulated, improving long-term retention. The properties MoS2 charge-trapping ability Au NPs mimic behaviors postsynaptic current (PSC), potentiation (LTP), transition from short-term (STM-LTM). device can also be integrated into artificial neural network (ANN) for smart healthcare applications, achieving 88.1% accuracy in electrocardiogram classification through dual-mode stimulation.

Language: Английский

Citations

0