A Physics-Informed Automatic Neural Network Generation Framework for Emerging Device Modeling

With the rapid development of semiconductor technology, traditional equation-based modeling faces challenges in accuracy and development time. To overcome these limitations, neural network (NN)-based modeling methods have been proposed. However, the NN-based compact model encounters two major issues...

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Detalles Bibliográficos
Autores principales: Guo, Guangxin, You, Hailong, Li, Cong, Tang, Zhengguang, Li, Ouwen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10304974/
https://www.ncbi.nlm.nih.gov/pubmed/37374735
http://dx.doi.org/10.3390/mi14061150

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10304974/
https://www.ncbi.nlm.nih.gov/pubmed/37374735
http://dx.doi.org/10.3390/mi14061150

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