dc.contributor.author | Ojo, S. O. | |
dc.contributor.author | Ismail, Sikiru O. | |
dc.contributor.editor | Bello, S. A. | |
dc.contributor.editor | Kharissov, B. I. | |
dc.date.accessioned | 2023-03-14T12:45:03Z | |
dc.date.available | 2023-03-14T12:45:03Z | |
dc.date.issued | 2022-10-17 | |
dc.identifier.citation | Ojo , S O & Ismail , S O 2022 , Computational Approaches to Polymeric Nanocomposites . in S A Bello & B I Kharissov (eds) , Hybrid Polymeric Nanocomposites from Agricultural Waste . 1st edn , vol. 1 , Taylor & Francis Group , pp. 91-130 . https://doi.org/10.1201/9781003170549 | |
dc.identifier.isbn | 978-0-367-77270-3 | |
dc.identifier.isbn | 978-1-003-17054-9 | |
dc.identifier.uri | http://hdl.handle.net/2299/26122 | |
dc.description | © 2023 Informa UK Limited. This is the accepted manuscript version of a book chapter which has been published in final form at https://doi.org/10.1201/9781003170549 | |
dc.description.abstract | Understanding hierarchical structures and behaviours of polymeric nanocomposites (PNCs) is essential to achieve optimum improvement in the properties of PNCs for a wide range of applications. To control the process of material synthesis, it is vital to employ computational strategies that can accurately predict the properties of candidate materials. Therefore, this chapter reviews the computational approaches to predicting the behaviours of PNCs. A general approach to modelling the physical and mechanical properties of PNCs in terms of analytical and numerical techniques is first presented, with a view to understand modelling approaches at different levels of complexities, lengths, and time scales, such as molecular, microscale, mesoscale, and macroscale. Then, specific attention is given to multiscale hierarchical modelling of PNCs to highlight techniques to bridge the gap between numerical and analytical models at different scales. This chapter further considers various aspects of emerging applications of single scale and multiscale numerical techniques to nanostructure systems. Lastly, it discusses current challenges encountered in the application of computational methods to improve the performance of polymeric nanomaterials in line with future prospects, prior to the concluding remarks. | en |
dc.format.extent | 40 | |
dc.format.extent | 1014262 | |
dc.language.iso | eng | |
dc.publisher | Taylor & Francis Group | |
dc.relation.ispartof | Hybrid Polymeric Nanocomposites from Agricultural Waste | |
dc.title | Computational Approaches to Polymeric Nanocomposites | en |
dc.contributor.institution | Centre for Engineering Research | |
dc.contributor.institution | Materials and Structures | |
dc.contributor.institution | School of Physics, Engineering & Computer Science | |
dc.contributor.institution | Department of Engineering and Technology | |
dc.contributor.institution | Centre for Climate Change Research (C3R) | |
dc.contributor.institution | Centre for Future Societies Research | |
dc.description.status | Peer reviewed | |
dc.date.embargoedUntil | 2023-10-17 | |
rioxxterms.versionofrecord | 10.1201/9781003170549 | |
rioxxterms.type | Other | |
herts.preservation.rarelyaccessed | true | |