Machine learning-guided optimization for ionic liquid-based polyethylene terephthalate waste recycling
Machine learning-based ionic liquid design and reaction condition optimization towards unified economic and environmental performance indicators.
Authors
- Zhaohui Tong (ORCID: https://orcid.org/0000-0002-0847-5612)
- Guanghui Lan (ORCID: https://orcid.org/0000-0002-2103-087X)
- Juan Daniel Martínez (ORCID: https://orcid.org/0000-0001-5075-5135)
- Ji Gao (ORCID: https://orcid.org/0000-0002-8333-5943)
- Wenbo Peng (ORCID: https://orcid.org/0000-0001-9747-2466)
- Andrés Galindo
- Ethan Slaton
Institutions
- Georgia Institute of Technology (US)
- University of Florida (US)
Publication Details
- Journal
- Green Chemistry
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1039/d5gc01998b
- Citations
- 3
- Primary Topic
- Machine Learning in Materials Science
- Type
- article
- Field-Weighted Citation Impact
- 1.55
Funders
- National Science Foundation
- National Institute of Food and Agriculture