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A novel deep learning-based chemical image identification method of infrared spectroscopy using external perturbation

Abstract

Perturbation-induced infrared spectroscopy combining deep learning-based chemical image identification method is proven to enable rapid and non-destructive identification of samples of different classes with a quite similar composition and morphological complexity with experimental validation. This study is significant for implementing advanced technology in the field of deep learning to solve chemical problems.

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Supplementary files

Article information


Submitted
15 Nov 2019
Accepted
05 Feb 2020
First published
13 Feb 2020

Anal. Methods, 2020, Accepted Manuscript
Article type
Communication

A novel deep learning-based chemical image identification method of infrared spectroscopy using external perturbation

X. Sun, H. Yuan, C. Song, X. Li and A. Hu, Anal. Methods, 2020, Accepted Manuscript , DOI: 10.1039/C9AY02461A

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