Memristor model: Various implementations of the simplified memristor model "JART-TUD VCM"
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Updated
Aug 13, 2024 - Python
Memristor model: Various implementations of the simplified memristor model "JART-TUD VCM"
A solver for Memristor Crossbar Arrays
A Simulation Framework for Memristive Deep Learning Systems
Planar memristor based on 2D material - MATLAB
A Python tool for computing and plotting currents and voltages in passive crossbar arrays.
Code used in the paper “Nonideality-Aware Training for Accurate and Robust Low-Power Memristive Neural Networks”
[Nature Machine Intelligence 2023] "Echo state graph neural networks with analogue random resistive memory arrays."
In-sensor reservoir computing for language learning via two-dimensional memristors
Implementation of "Low-Cost and Effective Fault-Tolerance Enhancement Techniques for Emerging Memories-Based Deep Neural Networks." 2021 58th ACM/IEEE Design Automation Conference (DAC).
This repository includes the Resistive Random Access Memory (RRAM) Compiler which is designed in the context of the research project of Dimitris Antoniadis (PG Taught Student) at Imperial College London
Nengo implementation of neuromorphic learning using simulated SrTiO3 memristors.
Scripts to model functional experimental or other phenomena, such as neuronal/device spiking, or tip-sample interactions.
V-I Diagram Plotter using SerialPort in C#
Java Application for automated memristor experiments and data collection based on Digilent's Analog Discovery 2 USB Oscilloscope and Knowm's Memristor Discovery Board.
HSPICE implementation of hybrid CMOS/Memristor BAM
LTSpice simulation software is used to study the behavior of a Memristor. Different logic gates like NOR, NAND and XOR were modelled and simulated followed by the simulation of a memristor based full-adder.
Structured clustering for memristive crossbar based neuromorphic architectures
Simple model of a memristor
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