Online Characterization of Mixed Plastic Waste Using Machine Learning and Mid-Infrared Spectroscopy

Long, Fei; Jiang, Shengli; Adekunle, Adeyinka Gbenga; M Zavala, Victor; Bar-Ziv, Ezra

doi:10.1021/acssuschemeng.2c06052

Online Characterization of Mixed Plastic Waste Using Machine Learning and Mid-Infrared Spectroscopy

Journal Article · 18 November 2022 · ACS Sustainable Chemistry & Engineering

DOI:https://doi.org/10.1021/acssuschemeng.2c06052· OSTI ID:2418772

^[1]; ^[2]; ^[3]; M Zavala, Victor ^[2]; ^[3]

Department of Mechanical Engineering, Michigan Technological University, Houghton, Michigan49931, United States; OSTI
Department of Chemical and Biological Engineering, University of Wisconsin-Madison, Madison, Wisconsin53706, United States
Department of Mechanical Engineering, Michigan Technological University, Houghton, Michigan49931, United States

Not provided.

Research Organization:: Univ. of Wisconsin, Madison, WI (United States)

Sponsoring Organization:: USDOE Office of Energy Efficiency and Renewable Energy (EERE)

DOE Contract Number:: EE0009285

OSTI ID:: 2418772

Journal Information:: ACS Sustainable Chemistry & Engineering, Journal Name: ACS Sustainable Chemistry & Engineering Journal Issue: 48 Vol. 10; ISSN 2168-0485

Publisher:: American Chemical Society (ACS)

Country of Publication:: United States

Language:: English

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