Data-driven nanomechanical sensing: specific information extraction from a complex system
Abstract Smells are known to be composed of thousands of chemicals with various concentrations, and thus, the extraction of specific information from such a complex system is still challenging. Herein, we report for the first time that the nanomechanical sensing combined with machine learning realiz...
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Autores principales: | Kota Shiba, Ryo Tamura, Gaku Imamura, Genki Yoshikawa |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2017
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Materias: | |
Acceso en línea: | https://doaj.org/article/caa34293246b47a493b506e5781a093d |
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