Low-voltage flexible organic transistors utilizing passivated polyelectrolyte dielectrics for tactile sensing and braille recognition

Journal of Colloid and Interface Science, Год журнала: 2025, Номер unknown, С. 137417 - 137417

Опубликована: Март 1, 2025

Язык: Английский

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Bioinspired Electrolyte-Gated Organic Synaptic Transistors: From Fundamental Requirements to Applications

Nano-Micro Letters, Год журнала: 2025, Номер 17(1)

Опубликована: Март 24, 2025

Abstract Rapid development of artificial intelligence requires the implementation hardware systems with bioinspired parallel information processing and presentation energy efficiency. Electrolyte-gated organic transistors (EGOTs) offer significant advantages as neuromorphic devices due to their ultra-low operation voltages, minimal hardwired connectivity, similar environment electrophysiology. Meanwhile, ionic–electronic coupling relatively low elastic moduli channel materials make EGOTs suitable for interfacing biology. This review presents an overview device architectures based on electrochemical field-effect transistors. Furthermore, we requirements consumption tunable synaptic plasticity in emulating biological synapses how they are affected by materials, electrolyte, architecture, mechanism. In addition, summarize basic principle sensory recent progress a building block systems. Finally, current challenges future discussed.

Язык: Английский

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Physical reservoir computing for Edge AI applications

The Innovation Materials, Год журнала: 2025, Номер unknown, С. 100127 - 100127

Опубликована: Янв. 1, 2025

<p>Reservoir computing has emerged as an efficient computational paradigm for processing temporal and dynamic data, driving advancements in neuromorphic electronics physical implementation. This review covers the devices implementing reservoir computing, emphasizing device-level innovations that address challenges of low-latency, energy-efficient, multimodal implementations. The advantages, disadvantages, core various spatial architectures building systems are discussed. Realistic paths on algorithmic implementations input output layers system investigated, issues such heterogeneous device integration, consistent readout, stability analyzed. topical emphasizes reconfigurability scalability fully analogized adaptive nodes. We discuss future directions across algorithmic, device, architectural, application domains. establishes a foundational framework provides strategic guidance edge artificial intelligent systems.</p>

Язык: Английский

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High Precision Conductance Modulation in CuCrP₂S₆ Synaptic Devices for Enhanced Neuromorphic Computing

Advanced Functional Materials, Год журнала: 2025, Номер unknown

Опубликована: Май 5, 2025

Abstract Artificial synapses are essential components for realizing neuromorphic computing at the physical level. Although numerous artificial synaptic devices have been fabricated in recent years, their performance is often limited by resistance state modulation capabilities and stability. Developing with a high number of intermediate states, excellent linearity, ultralow power consumption remains challenge. This work presents device based on van der Waals layered ionic conductor material, CuCrP 2 S 6 (CCPS). By precisely controlling conductivity device, it exhibits exceptional biomimetic behaviors, including long‐term potentiation (LTP) depression (LTD) up to 8000 states (13‐bit), an nonlinearity <0.31, operating energy <45 pJ per pulse. Importantly, LTP LTD behaviors demonstrate outstanding stability, sustaining reliable over 32 cycles. A convolutional neural network (CNN) device's achieves recognition accuracy approaching full precision simulation image tasks. Additionally, shows significant advantages processing complex auditory signals, achieving 96.4% sound highlighting its potential applications.

Язык: Английский

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Chalcogenophene Heteroatom Engineering in Polymeric Mixed Conductors Enables High-Performance and Ultra-Stable Aqueous Electrochemical Devices

Опубликована: Янв. 1, 2025

Язык: Английский

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