Machine Learning for Ionic Liquid Toxicity Prediction

Wang, Zihao; Song, Zhen; Zhou, Teng

doi:10.3390/pr9010065

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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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Item Permalink: https://hdl.handle.net/21.11116/0000-0007-DD26-6 Version Permalink: https://hdl.handle.net/21.11116/0000-0009-569C-7

Genre: Journal Article

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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, Teng^{1, 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: Date issued: 2021

Publication Status: Issued

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Rev. Type: Peer

Identifiers: DOI: 10.3390/pr9010065
Other: pubdata_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