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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Bibliographic Details
Main Authors: Kota Shiba, Ryo Tamura, Gaku Imamura, Genki Yoshikawa
Format: Article
Language:English
Published: Nature Publishing Group 2017-06-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-017-03875-7