Results 121 to 130 of about 11,144 (308)
Floating memristor emulator with subthreshold region
Memristor which is recently discovered and known as missing circuit element is an important for memory, nonlinear and neuromorphic circuit designs. Modeling of memristor devices is essential for memristor based circuit design.
Babacan, Yunus, Kacar, FIRAT
core +1 more source
Here, we present an optoelectronic synaptic memtransistor (OSMT) integrating photoresponsive IGZO with contact‐engineered HfO2, enabling electrically and optically tunable synaptic weights. The device demonstrates broad range of tunable conductance states and array‐level image processing, highlighting its potential for intelligent machine vision ...
Donghyun Kang +6 more
wiley +1 more source
V diplomskem delu obravnavamo postopek modeliranja memristorja. Definiramo memristor in odkritje memristorja. OpiÅ¡emo sintezo memristorja s pomoÄjo M-R mutatorja, ki je osnova za postavitev modela.
Skribe, Gregor
core
A biocompatible graphene/ZnO optical charge trap memory (CTM) is reported with over 54 h retention, enabled by interfacial photodoping. Using transient absorption spectroscopy and electrical analysis, charge transfer quenching is elucidated and reveal that a large energy barrier at the interface is responsible for long‐term memory retention.
Seungmin Shin +10 more
wiley +1 more source
RRAM Variability Harvesting for CIM‐Integrated TRNG
This work demonstrates a compute‐in‐memory‐compatible true random number generator that harvests intrinsic cycle‐to‐cycle variability from a 1T1R RRAM array. Parallel entropy extraction enables high‐throughput bit generation without dedicated circuits. This approach achieves NIST‐compliant randomness and low per‐bit energy, offering a scalable hardware
Ankit Bende +4 more
wiley +1 more source
Ising machines are emerging as specialized hardware solvers for computationally hard optimization problems. This review examines five major platforms—digital CMOS, analog CMOS, emerging devices, coherent optics, and quantum systems—highlighting physics‐rooted advantages and shared bottlenecks in scalability and connectivity.
Hyunjun Lee, Joon Pyo Kim, Sanghyeon Kim
wiley +1 more source
Programming Exploration of Memristor Crossbar [PDF]
Memristor crossbar is prevailing as one of the most promising candidates to construct the neural network because of their similarity to biological synapses, favorable programmability, simple structure and high performance regarding area efficiency and ...
DU, XIAOCONG
core
Exfoliated‐MoS2 Gradual Resistive Switching Devices as Artificial Synapses
A vertical memristor based on untreated, exfoliated MoS2 is presented, revealing gradual resistive switching governed by Schottky barrier modulation at the MoS2/metal interface from the trapping/detrapping of charges. Furthermore, the device emulates synaptic‐like plasticity functions, including: potentiation, depression, and spike‐amplitude‐dependent ...
Deianira Fejzaj +3 more
wiley +1 more source
Artificial synapse inspired by the biological brain has great potential in the field of neuromorphic computing and artificial intelligence. The memristor is an ideal artificial synaptic device with fast operation and good tolerance.
Fang Luo +5 more
doaj +1 more source
ELECTRONIC EMULATION OF MEMRISTOR
V diplomskem delu obravnavamo postopek emulacije memristorja z elektronskim vezjem. Definiramo memristor in odkritje memristorja. Opišemo načrtovanje zahtevane karakteristike memduktance memristorja, realiziranega s pomočjo M-UU mutatorja, ki preslika ...
Sarjaš, Dino
core

