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A novel supra coarse-grained model for cellulose

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dc.contributor.author Garg, Mohit
dc.date.accessioned 2024-08-05T07:15:27Z
dc.date.available 2024-08-05T07:15:27Z
dc.date.issued 2020-03
dc.identifier.uri https://link.springer.com/article/10.1007/s10570-020-03068-y
dc.identifier.uri http://dspace.bits-pilani.ac.in:8080/jspui/xmlui/handle/123456789/15085
dc.description.abstract Cellulose being the most widely available biopolymer on Earth is attracting significant interest from the industry and research communities. While molecular simulations can be used to understand fundamental aspects of cellulose nanocrystal self-assembly, a model that can perform on the experimental scale is currently missing. In our study we develop a supra coarse-grained (sCG) model of cellulose nanocrystal which aims to bridge the gap between molecular simulations and experiments. The sCG model is based on atomistic molecular dynamics simulations and it is developed with the force-matching coarse-graining procedure. The validity of the model is shown through comparison with experimental and simulation results of the elastic modulus, self-diffusion coefficients and cellulose fiber twisting angle. We also present two representative case studies, self-assembly of nanocrystal during solvent evaporation and simulation of a chiral nematic phase ordering. Finally, we discuss possible future applications for our model. en_US
dc.language.iso en en_US
dc.publisher Springer en_US
dc.subject Chemical Engineering en_US
dc.subject sCG model en_US
dc.subject Nanocrystals en_US
dc.title A novel supra coarse-grained model for cellulose en_US
dc.type Article en_US


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