Results 81 to 90 of about 7,847 (301)
Advanced Materials, EarlyView.The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source
Mechanical Properties Analysis of Flexible Memristors for Neuromorphic Computing
Nano-Micro LettersHighlights This review systematically summarizes materials system, development history, device structure, stress simulation and applications of flexible memristors.
Zhenqian Zhu +3 more
doaj +1 more source
Silk Protein Based Volatile Threshold Switching Memristors for Neuromorphic Computing
Advanced Electronic Materials, 2022 Memristors based neuromorphic devices can efficiently process complex information and fundamentally overcome the bottleneck of traditional computing based on von Neumann architecture.
Momo Zhao +13 more
doaj +1 more source
Advanced Materials, EarlyView.Path‐decoupled III–V van der Waals memtransistors spatially separate ionic and electronic transport to overcome the conventional trade‐off between accuracy and energy in neuromorphic hardware. Mobile K+ ions in the vdW gaps set a wide conductance window, Gmax/Gmin, while gate‐tunable hole conduction lowers programming energy, enabling reliable ...
Jihong Bae +13 more
wiley +1 more source
SmartMat, 2023 Artificial synapses and neurons are crucial milestones for neuromorphic computing hardware, and memristors with resistive and threshold switching characteristics are regarded as the most promising candidates for the construction of hardware neural ...
Fu‐Dong Wang +11 more
doaj +1 more source
Models of memristors for spice simulations
, 2012 — Memristors are novel devices, which can be used in applications such as memory, logic, analog circuits and neuromorphic systems. Several memristor technologies have been developed such as ReRAM (Resistive RAM), MRAM (Magnetoresistance RAM), and PCM ...
Shahar Kvatinsky +5 more
core +1 more source
Research Progress of Neural Synapses Based on Memristors
, 2023 The memristor, characterized by its nano-size, nonvolatility, and continuously adjustable resistance, is a promising candidate for constructing brain-inspired computing.
Xin Xi +8 more
core +1 more source
Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities
Advanced Materials, EarlyView.This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen +7 more
wiley +1 more source
Temporal Dynamics Makes Memristive Physical Unclonable Functions More Secure and Ultra‐Lightweight
Advanced Electronic MaterialsMemristive physical unclonable function (PUF) is a recent entry to the list of security primitives, employing the intrinsic randomness of memristors. Although this represents a huge opportunity for memristors, all present memristive PUFs suffer from the ...
Yunpeng Guo, Cheng Ma, Huanglong Li
doaj +1 more source
Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles
Advanced Materials, EarlyView.Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung +9 more
wiley +1 more source