Assisted by multidimensional data analysis, chemical recycling methods for waste generated by the renewable energy sector in the context of the circular economy
- DOI
- 10.1016/j.wasman.2026.115575
- Published
- 2026-06
- Container
- Waste Management
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.wasman.2026.115575,
title = {Assisted by multidimensional data analysis, chemical recycling methods for waste generated by the renewable energy sector in the context of the circular economy},
author = {Marcin Sajdak and Roksana Muzyka and Szymon Sobek and Hamza Mumtaz and Sebastian Werle and Lidia Lombardi},
year = {2026},
journal = {Waste Management},
doi = {10.1016/j.wasman.2026.115575},
url = {https://doi.org/10.1016/j.wasman.2026.115575}
}RIS
TY - JOUR TI - Assisted by multidimensional data analysis, chemical recycling methods for waste generated by the renewable energy sector in the context of the circular economy AU - Marcin Sajdak AU - Roksana Muzyka AU - Szymon Sobek AU - Hamza Mumtaz AU - Sebastian Werle AU - Lidia Lombardi PY - 2026 JO - Waste Management DO - 10.1016/j.wasman.2026.115575 UR - https://doi.org/10.1016/j.wasman.2026.115575 ER -
APA
Sajdak, M., Muzyka, R., Sobek, S., Mumtaz, H., Werle, S., & Lombardi, L. (2026). Assisted by multidimensional data analysis, chemical recycling methods for waste generated by the renewable energy sector in the context of the circular economy. Waste Management. https://doi.org/10.1016/j.wasman.2026.115575
Source records
- crossref · retrieved 2026-09-25T10:29:58.106Z