Neural Compact Modeling Framework for Flexible Model Parameter Selection with High Accuracy and Fast SPICE Simulation

Neural Compact Modeling Framework for Flexible Model Parameter Selection with High Accuracy and Fast SPICE Simulation

Neural compact models are proposed to simplify device‐modeling processes without requiring domain expertise. However, the existing models have certain limitations. Specifically, some models are not parameterized, while others compromise accuracy and speed, which limits their usefulness in multi‐devi...

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Bibliographic Details
Main Authors: Seungjoon Eom, Hyeok Yun, Hyundong Jang, Kyeongrae Cho, Seunghwan Lee, Jinsu Jeong, Rock‐Hyun Baek
Format: Article
Language:English
Published: Wiley 2024-04-01
Series:Advanced Intelligent Systems
Subjects:
compact models
machine learnings
neural networks
technology computer‐aided designs
transistors
Online Access:https://doi.org/10.1002/aisy.202300435

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