Journal of Surface Analysis
Online ISSN : 1347-8400
Print ISSN : 1341-1756
ISSN-L : 1341-1756
Extended Abstract
Evaluation of Unknown Substances by Applying Machine Learning to TOF-SIMS Data
Shohei Hananoki
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2024 Volume 31 Issue 2 Pages 168-

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Abstract
Tapes and films with various functions are our main products. It is important to understand the characteristics of the surface in contact with the adhesive. Therefore, our company focuses on surface analysis, such as Time of Flight Secondary Ion Mass Spectrometry (TOF-SIMS). However, its data is very complex and difficult to analyze. In this presentation, we report the application of principal component analysis (PCA), multivariate curve resolution (MCR) and autoencoder (AE) to the following TOF-SIMS data. Ⅰ: Analysis of oil content on coating film surface Ⅱ: Analysis of residue after tape peeling As a result, the important features of each component in the samples were extracted by these methods, and then the molecular structures were indicated.
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© 2024 by The Surface Analysis Society of Japan
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