A Simulation Framework for Memristive Deep Learning Systems

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

Java Application for automated memristor experiments and data collection based on Digilent's Analog Discovery 2 USB Oscilloscope and Knowm's Memristor Discovery Board.

Memristor Reinforcement Learning

A Python tool for computing and plotting currents and voltages in passive crossbar arrays.

[Nature Machine Intelligence 2023] "Echo state graph neural networks with analogue random resistive memory arrays."

Structured clustering for memristive crossbar based neuromorphic architectures

In-sensor reservoir computing for language learning via two-dimensional memristors

Code used in the paper “Nonideality-Aware Training for Accurate and Robust Low-Power Memristive Neural Networks”

Nengo implementation of neuromorphic learning using simulated SrTiO3 memristors.

HSPICE implementation of hybrid CMOS/Memristor BAM

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).

Control algorithms and logic for Memristor's robots

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.

Memristor model: Various implementations of the simplified memristor model "JART-TUD VCM"

Simple model of a memristor

V-I Diagram Plotter using SerialPort in C#

memristive neuron project

Memristor Read & Write Analysis