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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