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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2020
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| Materias: | |
| 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 |