Results 101 to 110 of about 19,562 (279)
Energy-Efficient Neuromorphic Architectures for Nuclear Radiation Detection Applications
A comprehensive analysis and simulation of two memristor-based neuromorphic architectures for nuclear radiation detection is presented. Both scalable architectures retrofit a locally competitive algorithm to solve overcomplete sparse approximation ...
Jorge I. Canales-Verdial +14 more
doaj +1 more source
Improved dual sided doped memristor: modelling and applications
Memristor as a novel and emerging electronic device having vast range of applications suffer from poor frequency response and saturation length. In this paper, the authors present a novel and an innovative device structure for the memristor with two ...
Anup Shrivastava +3 more
doaj +1 more source
An on‐demand ultra‐reconfigurable intelligent vision system with hierarchical reconfigurability from device to system levels is demonstrated. Through co‐design of a multi‐paradigm device, reconfigurable circuits, and adaptive system architecture/algorithms, the system enables seamless switching among spiking, non‐spiking, neuromorphic imaging (NI), and
Biyi Jiang +7 more
wiley +1 more source
Abstract The emergence of memristors offers a revolutionary solution for achieving in-memory computing at the hardware level. However, existing memristors suffer from the inherent channel materials damage during cyclical resistive switching, rendering excessive energy consumption and poor endurance.
Lanhao Qin +23 more
openaire +1 more source
Here, we propose a single‐crystal PZT‐based piezo‐phototronic organic adaptive memory transistor (OAMT), achieving a record memory window capacity factor (γ) of 0.87 at a low SS of 200 mV/decade via efficient multi‐field control. The device achieves a high recognition accuracy ∼ 90% in neuromorphic simulations, demonstrates robust fault tolerance under
Chenhao Xu +8 more
wiley +1 more source
Novel secret key generation techniques using memristor devices
This paper proposes novel secret key generation techniques using memristor devices. The approach depends on using the initial profile of a memristor as a master key.
Heba Abunahla +4 more
doaj +1 more source
A plasmonic optoelectronic memristor based on Te nanowires‐Au nanoparticles/ι‐carrageenan enables IR‐programmed and visiblelight‐erased non‐volatile conductance. The all‐photonic write/erase scheme supports in‐sensor logic and real‐time motion detection in darkness.
Jingyao Bian +7 more
wiley +1 more source
Memristive Baffle Systems: Design, Simulation, and Applications
This study presents a nanoscale baffle‐system strategy for HfO2‐based memristors that controls oxygen‐vacancy transport through Al2O3 interlayers. Guided by multiscale simulation and experimental validation, the Al2O3 dual‐barrier configuration simultaneously enhances synaptic linearity and endurance.
Eun Young Kim +9 more
wiley +1 more source
Multi‐Physical Field Modulated P‐Bit Device Based on VO2 Thin Film
We have proposed a VO2‐based P‐bit device where synergistic multi‐physical field modulation enables real‐time tunability of randomness. Besides introducing a new phase‐change material‐based device approach for high‐performance P‐bits, this study also demonstrates a synergistic multi‐physical field modulation strategy that opens new opportunities for ...
Bowen Sun +10 more
wiley +1 more source
In this work, a low-voltage-driven theoretical memristor framework is presented with its in-depth parametric evaluation and its neuromorphic computing functionalities, including spike-time dependent plasticity (STDP) via Hebbian learning rules.
Aarti Dahiya +3 more
doaj +1 more source

