Interactive 3D Crossbar Array Visualization | WebGL + Three.js | Memristor Device Simulation | Author: QAISER ABBAS
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Updated
Apr 20, 2026 - JavaScript
Interactive 3D Crossbar Array Visualization | WebGL + Three.js | Memristor Device Simulation | Author: QAISER ABBAS
Modeling Memristors with Machine Learning #memistors
Memristor model: Various implementations of the simplified memristor model "JART-TUD VCM"
Memristive circuit simulation App
WaCPro is an open-source application for waveform generation and crossbar programming in nanotechnology research and education. It enables intuitive GUI-based design, visualization, and export of signals for memristor and crossbar experiments, supporting simulation tools and multiple AWG vendors via SCPI control.
Planar memristor based on 2D material - MATLAB
A solver for Memristor Crossbar Arrays
A Simulation Framework for Memristive Deep Learning Systems
A Python tool for computing and plotting currents and voltages in passive crossbar arrays.
Two-Level Quantum Memristor implemented both numerically and through a quantum circuit using the Qiskit SDK
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.
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