Multidimensional Deep Ultraviolet (DUV) Synapses Based on Organic/Perovskite Semiconductor Heterojunction Transistors for Antispoofing Facial Recognition Systems

Nano Letters, Journal Year: 2024, Volume and Issue: 24(22), P. 6673 - 6682

Published: May 23, 2024

Reliably discerning real human faces from fake ones, known as antispoofing, is crucial for facial recognition systems. While neuromorphic systems offer integrated sensing-memory-processing functions, they still struggle with efficient antispoofing techniques. Here we introduce a system incorporating multidimensional deep ultraviolet (DUV) optoelectronic synapses to address these challenges. To overcome the complexity and high cost of producing DUV using traditional wide-bandgap semiconductors, developed low-temperature (≤70 °C) solution process fabricating based on PEA2PbBr4/C8-BTBT heterojunction field-effect transistors. This method enables large-scale (4-in.), uniform, transparent production synapses. These devices respond both visible light, showing features. Leveraging unique ability synapse (MDUVS) discriminate skin artificial materials, have achieved robust capability, successfully identifying genuine an accuracy exceeding 92%.

Language: Английский

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Adaptive optoelectronic transistor for intelligent vision system

Journal of Semiconductors, Journal Year: 2025, Volume and Issue: 46(2), P. 021404 - 021404

Published: Feb. 1, 2025

Abstract Recently, for developing neuromorphic visual systems, adaptive optoelectronic devices become one of the main research directions and attract extensive focus to achieve transistors with high performances flexible functionalities. In this review, based on a description biological functions that are favorable dynamically perceiving, filtering, processing information in varying environment, we summarize representative strategies achieving these adaptabilities transistors, including adaptation detecting information, synaptic weight change, history-dependent plasticity. Moreover, key points corresponding comprehensively discussed. And applications color detection, signal extending response range light intensity, improve learning efficiency, also illustrated separately. Lastly, challenges faced transistor artificial vision system The inspired expected provide insights design application next-generation systems.

Language: Английский

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A high-performance organic lithium salt-doped OFET with the optical radical effect for photoelectric pulse synaptic simulation and neuromorphic memory learning

Materials Horizons, Journal Year: 2024, Volume and Issue: 11(16), P. 3867 - 3877

Published: Jan. 1, 2024

Simulation of synaptic characteristics is essential for the application organic field effect transistors (OFETs) in neural morphology. Although excellent performance, including bias stability and mobility, as well photoelectric pulse simulation, has been achieved SiO

Language: Английский

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Recent progress of organic photonic synaptic transistors for artificial visual systems: structure configuration and innovative applications

Journal of Materials Chemistry C, Journal Year: 2024, Volume and Issue: 12(26), P. 9455 - 9476

Published: Jan. 1, 2024

This article provides a comprehensive review of organic photonic synaptic transistors (OPSTs) used for artificial visual systems (AVSs). The typical structures and some innovative applications OPSTs in AVSs were discussed.

Language: Английский

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Emerging Artificial Synaptic Devices Based on Organic Semiconductors: Molecular Design, Structure and Applications

ACS Applied Materials & Interfaces, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 9, 2025

In modern computing, the Von Neumann architecture faces challenges such as memory bottleneck, hindering efficient processing of large datasets and concurrent programs. Neuromorphic inspired by brain's architecture, emerges a promising alternative, offering unparalleled computational power while consuming less energy. Artificial synaptic devices play crucial role in this paradigm shift. Various material systems, from organic to inorganic, have been explored for neuromorphic devices, with materials attracting attention their excellent photoelectric properties, diverse choices, versatile preparation methods. Organic semiconductors, particular, offer advantages over transition-metal dichalcogenides, including ease flexibility, making them suitable large-area films. This review focuses on emerging artificial based discussing different branches within semiconductor system, various fabrication methods, device structure designs, applications synapse. Critical considerations achieving truly human-like dynamic perception systems semiconductors are also outlined, reflecting ongoing evolution computing.

Language: Английский

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All‐Optical Modulation Photodetectors Based on the CdS/Graphene/Ge Sandwich Structures for Integrated Sensing‐Computing

Advanced Science, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 22, 2025

Abstract In this manuscript, an all‐optical modulation photodetector based on a CdS/graphene/Ge sandwich structure is designed. the presence of (near‐infrared) light, Fermi level graphene channel shifts, allowing for tuning visible light response speed as well achieving broad responsivity range from negative (‐3376 A/W) to positive (3584 response. Based this, logical operations are performed by adjusting power superimposed with signal light. This facilitates more covert, all‐optical, high‐speed encrypted communication. The ultrahigh tunability and nearly symmetric photoconductivity photodetectors significantly enhance computational capacity neuromorphic hardware. proposed device exhibits substantial advantages in applications requiring high fault tolerance integrated sensing‐computing （ISC） high‐resolution motion object recognition, providing insights development next‐generation high‐bandwidth, low‐power‐consumption ISC devices.

Language: Английский

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Self‐Powered Artificial Neuron Devices: Towards the All‐In‐One Perception and Computation System

Advanced Materials, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 18, 2025

Abstract The increasing demand for energy supply in sensing units and the computational efficiency of computation has prompted researchers to explore novel, integrated technology that offers high low consumption. Self‐powered enables environmental perception without external sources, while neuromorphic provides energy‐efficient high‐performance computing capabilities. integration self‐powered presents a promising solution an all‐in‐one system. This review examines recent developments advancements artificial neuron devices based on triboelectric, piezoelectric, photoelectric effects, focusing their structures, mechanisms, functions. Furthermore, it compares electrical characteristics various types discusses effective methods enhancing performance. Additionally, this comprehensive summary systems, encompassing tactile, visual, auditory systems. Moreover, elucidates recently systems combine perception, computing, actuation into configurations, aspiring realize closed‐loop control. seamless holds significant potential shaping more intelligent future humanity.

Language: Английский

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Low‐Power and Multimodal Organic Photoelectric Synaptic Transistors Modulated by Photoisomerization for UV Damage Perception and Artificial Visual Recognition

Advanced Functional Materials, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 19, 2025

Abstract Low‐power and efficiently parallel neuromorphic computing is expected to break the bottleneck of von Neumann architecture. Due direct responses optical signals, photonic synaptic devices can work as core components artificial visual systems, accelerating development neural computing. Furthermore, community looking for effective coupling electronic behaviors within an individual organic device achieve further functional integration. Photoisomeric molecules with photo‐regulatable properties are facilitate this process. Herein, photoelectric transistors (OPSTs) constructed by introducing poly(2‐(3′,3′‐dimethyl‐6‐nitrospiro[chromene‐2,2′‐indolin]‐1′‐yl) ethyl methacrylate) (PSPMA) photoisomeric groups, which effectively improves photo‐synaptic response. polarization induction light‐assisted charge trapping PSPMA, OPSTs simulate typical significant conductance modulation at low voltage assistance UV light. The power consumption 84 aJ per event. Moreover, mimic nociceptors, recognize handwritten digits 93.33% accuracy, decode encrypted information, demonstrating potential applications in damage perception recognition. These findings will expand application devices, open up new possibilities hardware architectures synapses.

Language: Английский

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A Fused Diketopyrrolopyrrole Derivative for Single‐Crystal Visible‐NIR Organic Phototransistor

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

Published: March 21, 2025

Organic phototransistors (OPTs) have garnered significant attention due to their potential in wearable and flexible electronics. However, achieving high carrier mobility broadband response organic semiconductors for OPTs remains a challenge. In this work, new fused diketopyrrolopyrrole (FDPP) derivative is reported, 2,9-bis(4-hexylphenyl)-7H,14H-thieno[3',2':7,8]indolizino[2,1-a]thieno[3,2-g]indolizine-7,14-dione (FDPP-p-C6), synthesized through N-cyclization of DPP with an adjacent thiophene unit. This ensures backbone planarity, while the hexyl side chains remain distant from core, minimizing steric hindrance promoting efficient intermolecular stacking. Consequently, single crystals FDPP-p-C6 exhibit planar typical herringbone packing arrangement, facilitating charge transport. The single-crystal field-effect transistors (OFETs) demonstrate p-type transport, maximum 0.20 cm2 V-¹ s-¹. Additionally, show promising performance, responsivity across broad spectral range photoresponsivity 2.2 × 103 A W-¹ along specific detectivity, derived noise current, 2.8 1010 Jones. study highlights FDPP as key material advancing OFET OPT technologies, propelling relevant research forward.

Language: Английский

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Ternary Heterojunction Synaptic Transistors Based on Perovskite Quantum Dots

Nanomaterials, Journal Year: 2025, Volume and Issue: 15(9), P. 688 - 688

Published: May 1, 2025

The traditional von Neumann architecture encounters significant limitations in computational efficiency and energy consumption, driving the development of neuromorphic devices. optoelectronic synaptic device serves as a fundamental hardware foundation for realization computing plays pivotal role chips. This study develops ternary heterojunction transistor based on perovskite quantum dots to tackle critical challenge weight modulation organic Compared binary transistor, achieves an enhanced hysteresis window due synergistic charge-trapping effects acceptor material dots. memory decreases with increasing source-drain voltage (VDS) but expands prolonged program/erase time, demonstrating effective carrier trapping modulation. Furthermore, successfully emulates typical photonic behaviors, including excitatory postsynaptic currents (EPSCs), paired-pulse facilitation (PPF), transition from short-term plasticity (STP) long-term (LTP). work provides simplified strategy high-performance transistors, showcasing potential adaptive intelligent systems.

Language: Английский

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