NI RRAM programming in Python
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Updated
Jun 8, 2024 - Python
NI RRAM programming in Python
Scripts to model functional experimental or other phenomena, such as neuronal/device spiking, or tip-sample interactions.
RRAM resistive switching behavior evaluation and prediction, based on fabrication conditions. Applied Machine learning\Deep learning models to predict SET voltage distribution in Honey-based RRAM devices. Simulating the basic operations of RRAM crossbars in image classification tasks, investigating the robustness of in situ vs. ex situ training.
Memristor model: Various implementations of the simplified memristor model "JART-TUD VCM"
Long Short-Term Memory Implementation Exploiting Passive RRAM Crossbar Array
Code and repository for RRAM RADAR programming method: https://doi.org/10.1109/TED.2021.3097975
Series of ReRAM characterization modules compatible with Keithley Semiconductor Characterization Systemsinstruments
A well-posed RRAM SPICE model implemented in Verilog-A, based on Stanford/ASU filamentary model, using code developed at UC Berkeley
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
A Simulation Framework for Memristive Deep Learning Systems
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