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
Published in:	Advanced intelligent systems Vol. 6; no. 4
Main Authors:	Eom, Seungjoon, Yun, Hyeok, Jang, Hyundong, Cho, Kyeongrae, Lee, Seunghwan, Jeong, Jinsu, Baek, Rock‐Hyun
Format:	Journal Article
Language:	English
Published:	Weinheim John Wiley & Sons, Inc 01.04.2024 Wiley
Subjects:	Accuracy Bias compact models Current voltage characteristics Design Gallium Integrated circuits machine learnings Modelling Neural networks Parameters Physics Semiconductor devices Simulation technology computer‐aided designs Thin film transistors transistors
ISSN:	2640-4567, 2640-4567
Online Access:	Get full text
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