Exploiting Dual-Gate Ambipolar CNFETs for Scalable Machine Learning Classification

Ambipolar carbon nanotube based field-effect transistors (AP-CNFETs) exhibit unique electrical characteristics, such as tri-state operation and bi-directionality, enabling systems with complex and reconfigurable computing. In this paper, AP-CNFETs are used to design a mixed-signal machine learning l...

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Detalles Bibliográficos
Autores principales: Kenarangi, Farid, Hu, Xuan, Liu, Yihan, Incorvia, Jean Anne C., Friedman, Joseph S., Partin-Vaisband, Inna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7109128/
https://www.ncbi.nlm.nih.gov/pubmed/32235855
http://dx.doi.org/10.1038/s41598-020-62718-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7109128/
https://www.ncbi.nlm.nih.gov/pubmed/32235855
http://dx.doi.org/10.1038/s41598-020-62718-0

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