Статья

Advances, Synergy, and Perspectives of Machine Learning and Biobased Polymers for Energy, Fuels, and Biochemicals for a Sustainable Future

Abu Danish Aiman Bin Abu SofianDepartment of Chemical and Environmental Engineering, Faculty of Science and Engineering, University of Nottingham Malaysia, Jalan Broga, 43500 Semenyih, Selangor Darul Ehsan, MalaysiaXun SunKey Laboratory of High Efficiency and Clean Mechanical Manufacture of Ministry of Education, School of Mechanical Engineering, Shandong University, Jinan 250061, ChinaVijai Kumar GuptaBiorefining and Advance Material Research Centre, SRUC, Barony Campus, Parkgate, Dumfries DG1 3NE, United KingdomAydin BerenjianDepartment of Chemical and Biological Engineering, Colorado State University, Fort Collins, Colorado 80523, United StatesAo XiaInstitute of Engineering Thermophysics, School of Energy and Power Engineering, Chongqing University, Chongqing 400044, ChinaZengling MaNational and Local Joint Engineering Research Center of Ecological Treatment Technology for Urban Water Pollution, Wenzhou University, Wenzhou 325035, ChinaPau Loke ShowDepartment of Chemical Engineering, Khalifa University, P.O. Box 127788, Abu Dhabi, United Arab Emirates

2024en

ABI

Аннотация

This review illuminates the pivotal synergy between machine learning (ML) and biopolymers, spotlighting their combined potential to reshape sustainable energy, fuels, and biochemicals. Biobased polymers, derived from renewable sources, have garnered attention for their roles in sustainable energy and fuel sectors. These polymers, when integrated with ML techniques, exhibit enhanced functionalities, optimizing renewable energy systems, storage, and conversion. Detailed case studies reveal the potential of biobased polymers in energy applications and the fuel industry, further showcasing how ML bolsters fuel efficiency and innovation. The intersection of biobased polymers and ML also marks advancements in biochemical production, emphasizing innovations in drug delivery and medical device development. This review underscores the imperative of harnessing the convergence of ML and biobased polymers for future global sustainability endeavors in energy, fuels, and biochemicals. The collective evidence presented asserts the immense promise this union holds for steering a sustainable and innovative trajectory.

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Идентификаторы

DOI: 10.1021/acs.energyfuels.3c03842

Цитирования и источники

Цитирований: 2Использованных источников: 0

Показатели — AkademScholar