Exploring Machine Learning in Chemistry through the Classification of Spectra: An Undergraduate Project-Reference-Cited by-同舟云学术

Exploring Machine Learning in Chemistry through the Classification of Spectra: An Undergraduate Project

Published:2023-02-13 Issue:3 Volume:100 Page:1343-1350
ISSN:0021-9584
Container-title:Journal of Chemical Education
language:en
Short-container-title:J. Chem. Educ.

Author:

St James Alanah Grant¹,Hand Luke¹,Mills Thomas¹,Song Liwen¹,Brunt Annabel S. J.¹^ORCID,Bergstrom Mann Patrick E.²^ORCID,Worrall Andrew F.²^ORCID,Stewart Malcolm I.²^ORCID,Vallance Claire¹^ORCID

Affiliation:

1. Department of Chemistry, University of Oxford, Chemistry Research Laboratory, 12 Mansfield Rd, Oxford OX1 3TA, United Kingdom

2. Department of Chemistry, University of Oxford, Chemistry Teaching Laboratory, South Parks Rd, Oxford OX1 3PS, United Kingdom

Funder

John Fell Fund, University of Oxford

Publisher

American Chemical Society (ACS)

Subject

Education,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jchemed.2c00682

Reference36 articles.

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4. Machine Learning for Science: State of the Art and Future Prospects

5. Machine learning-quantitative structure property relationship (ML-QSPR) method for fuel physicochemical properties prediction of multiple fuel types

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