Unraveling Reaction Pathways and Specifying Reaction Kinetics for Complex Systems
Overview
Molecular Biology
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Many natural and industrial processes involve a complex set of competing reactions that include several different species. Detailed kinetic modeling of such systems can shed light on the important pathways involved in various transformations and therefore can be used to optimize the process conditions for the desired product composition and properties. This review focuses on elucidating the various components involved in modeling the kinetics of pyrolysis and oxidation of polymers. The elementary free radical steps that constitute the chain reaction mechanism of gas-phase/nonpolar liquid-phase processes are outlined. Specification of the rate coefficients of the various reaction families, which is central to the theme of kinetics, is described. Construction of the reaction network on the basis of the types of end groups and reactive moieties in a polymer chain is discussed. Modeling frameworks based on the method of moments and kinetic Monte Carlo are evaluated using illustrations. Finally, the prospects and challenges in modeling biomass conversion are addressed.
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Panchal N, Vinu R J Anal Appl Pyrolysis. 2023; 170:105870.
PMID: 36686287 PMC: 9846882. DOI: 10.1016/j.jaap.2023.105870.
Multi-Scale Modeling of Plastic Waste Gasification: Opportunities and Challenges.
Madanikashani S, Vandewalle L, De Meester S, De Wilde J, Van Geem K Materials (Basel). 2022; 15(12).
PMID: 35744275 PMC: 9228121. DOI: 10.3390/ma15124215.
The molecular mechanism of constructive remodeling of a mechanically-loaded polymer.
Wang C, Akbulatov S, Chen Q, Tian Y, Sun C, Couty M Nat Commun. 2022; 13(1):3154.
PMID: 35672410 PMC: 9174275. DOI: 10.1038/s41467-022-30947-8.
Kusenberg M, Eschenbacher A, Djokic M, Zayoud A, Ragaert K, De Meester S Waste Manag. 2021; 138:83-115.
PMID: 34871884 PMC: 8769047. DOI: 10.1016/j.wasman.2021.11.009.
Machine learning in chemical reaction space.
Stocker S, Csanyi G, Reuter K, Margraf J Nat Commun. 2020; 11(1):5505.
PMID: 33127879 PMC: 7603480. DOI: 10.1038/s41467-020-19267-x.