Integration of Physics-Derived Memristor Models with Machine Learning Frameworks
Author:
Affiliation:
1. Fakulät für Elektrotechnik und Informationstechnik, RWTH Aachen,Aachen,Germany,52074
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10051833/10051818/10052010.pdf?arnumber=10052010
Reference16 articles.
1. A Voltage-Controlled, Oscillation-Based ADC Design for Computation-in-Memory Architectures Using Emerging ReRAMs
2. High speed memristor-based ripple carry adders in ltlr array structure;fu;IEEE Transactions on Circuits and Systems II Express Briefs,2022
3. Improved Switching Stability and the Effect of an Internal Series Resistor in HfO2/TiOx Bilayer ReRAM Cells
4. Modeling and simulating in-memory memristive deep learning systems: An overview of current efforts;lammie;Arrays,2021
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1. The Ouroboros of Memristors: Neural Networks Facilitating Memristor Programming;2024 IEEE 6th International Conference on AI Circuits and Systems (AICAS);2024-04-22
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