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  Machine Learning for Ionic Liquid Toxicity Prediction

Wang, Z., Song, Z., & Zhou, T. (2021). Machine Learning for Ionic Liquid Toxicity Prediction. Processes, 9(1): 65. doi:10.3390/pr9010065.

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Copyright: © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license

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 Creators:
Wang, Zihao1, Author              
Song, Zhen2, Author
Zhou, Teng1, 2, Author              
Affiliations:
1Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738151              
2Otto-von-Guericke-Universität Magdeburg, External Organizations, ou_1738156              

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Language(s): eng - English
 Dates: 2021
 Publication Status: Published in print
 Pages: -
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.3390/pr9010065
Other: data_escidoc:3282009
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Title: Processes
Source Genre: Journal
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Pages: - Volume / Issue: 9 (1) Sequence Number: 65 Start / End Page: - Identifier: ISSN: 2227-9717