Automated Methods for Identification and Quantification of Structural Groups from Nuclear Magnetic Resonance Spectra Using Support Vector Classification-Reference-Cited by-同舟云学术

Automated Methods for Identification and Quantification of Structural Groups from Nuclear Magnetic Resonance Spectra Using Support Vector Classification

Published:2021-01-06 Issue:1 Volume:61 Page:143-155
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Specht Thomas¹,Münnemann Kerstin¹^ORCID,Hasse Hans¹,Jirasek Fabian¹^ORCID

Affiliation:

1. Laboratory of Engineering Thermodynamics (LTD), TU Kaiserslautern, Erwin-Schrödinger-Straße 44, 67663 Kaiserslautern, Germany

Funder

German Federal State of Rhineland-Palatinate

Publisher

American Chemical Society (ACS)

Subject

Library and Information Sciences,Computer Science Applications,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jcim.0c01186

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4. NMR Quantification of Carbohydrates in Complex Mixtures. A Challenge on Honey

5. Monoalkylcarbonate formation in the system monoethanolamine–water–carbon dioxide

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