Deep Learning for Green Chemistry: An AI-Enabled Pathway for Biodegradability Prediction and Organic Material Discovery
Author:
Funder
Inha University
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11814-024-00202-5.pdf
Reference60 articles.
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3. F. Allen, J. Gasparro, J. Swaney, M. Phelan, J. Gillespie, Directive 2004/38/EC of the European Parliament and of the Council of 29 April 2004, Immigration Law Handbook (2023) 2253-C79P212. https://doi.org/10.1093/oso/9780192896292.003.0079
4. T. No, 301: Ready biodegradability. OECD (1992). https://doi.org/10.1787/9789264070349-en
5. P.A. Vanrolleghen, K.J. Keesman. Identification of biodegradation models under model and data uncertainty, Water Sci. Technol. (1996). https://doi.org/10.1016/0273-1223(96)00192-8
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