Recent Advancements in Biomass/Waste-Derived Materials in Catalysis, Energy Storage, and Computational Modeling
A special issue of Catalysts (ISSN 2073-4344). This special issue belongs to the section "Biomass Catalysis".
Deadline for manuscript submissions: closed (20 October 2022) | Viewed by 11649
Special Issue Editors
Interests: sustainable catalytic process; applied catalysis; reaction engineering; biomass conversion; computational catalysis; CO2 conversion; photocatalysis
Interests: waste to energy; biomass pyrolysis; gasification; catalytic pyrolysis; biochar
Special Issues, Collections and Topics in MDPI journals
Interests: solid waste treatment and recycling; biomass/coal gasification and pyrolysis; oil recycling from oily sludge; hydrogen production with tar catalysis reforming; municipal solid waste to fuel; sewage sludge treatment and recycling; drying technology of high moisture materials; microbial technology for solid waste treatment
Special Issue Information
Dear Colleagues,
Research related to thermochemical processing of biomass and solid wastes has been experiencing rapid development during the past 20 years. The topics include fundamental reaction mechanisms and kinetics, lab-scale and demonstration-scale reactor design and operation, complex modeling, and process simulation. Ongoing research is still struggling to explore effective strategies/techniques to utilizing biomass- and waste-derived materials in catalysis, energy storage, and computational modeling applications. This Special Issue aims to cover promising and dynamic areas of research and contributions on recent developments in catalysis, energy storage, and computational modeling related to biomass/waste-derived materials. This thematic issue will present the most advanced progress involving biomass-derived carbons for use in various applications. such as chemical reactions, fuel cells, electrocatalytic water splitting devices, supercapacitors. and lithium-ion batteries. In addition, advanced machine learning tools such as artificial neural network or genetic algorithm studies to predict process behavior will be a part of this potential thematic issue.
Prof. Dr. Nor Aishah Saidina Amin
Dr. Salman Raza Naqvi
Dr. Ningbo Gao
Guest Editors
Manuscript Submission Information
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Keywords
- biomass/wastes catalysis
- pyrolysis
- energy storage
- modeling
- neural network
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