Machine learning-powered compact modeling of stochastic electronic devices using mixture density networks

Abstract The relentless pursuit of miniaturization and performance enhancement in electronic devices has led to a fundamental challenge in the field of circuit design and simulation-how to accurately account for the inherent stochastic nature of certain devices. While conventional deterministic mode...

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Bibliographic Details

Published in:	Scientific Reports
Main Authors:	Jack Hutchins, Shamiul Alam, Dana S. Rampini, Bakhrom G. Oripov, Adam N. McCaughan, Ahmedullah Aziz
Format:	Article
Language:	English
Published:	Nature Portfolio 2024-03-01
Online Access:	https://doi.org/10.1038/s41598-024-56779-8