Topological Evolution of Polymer Networks

Lead Research Organisation: UNIVERSITY OF CAMBRIDGE
Department Name: Physics

Abstract

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Publications

10 25 50

Studentship Projects

Project Reference Relationship Related To Start End Student Name
EP/R511870/1 30/09/2017 29/09/2023
1948669 Studentship EP/R511870/1 30/09/2017 29/09/2021 Mark Jenei
 
Description Polymer systems evolve on various time - and length scales, and it is particularly hard to model this process using conventional experimental methods.
Computer simulations can assist the understanding of these materials.
In this work, we first looked at ways to estimate physical properties of polymer using computational methods, and published our findings (see link below).
Secondly, effects on the atomistic scale were investigated, to find out how a molecules reaction capability changes in the process of polymerization. Results will soon be published.
Finally, I am currently looking at ways to enable large-scale simulations that can be used to understand the origin of certain properties of materials.
Exploitation Route Our work improves the quality and efficiency of computational simulation of polymers. The methods developed can be used to guide materials design and discovery.
Sectors Aerospace

Defence and Marine

Chemicals

Construction

Manufacturing

including Industrial Biotechology

Pharmaceuticals and Medical Biotechnology

URL https://www.tandfonline.com/doi/full/10.1080/08927022.2020.1829613
 
Description In the summer of 2019 I joined my co-funder company, BIOVIA (D'assault Systemes Cambridge) for an internship, to implement my findings in polymerisation modelling in their software package.
First Year Of Impact 2019
Sector Chemicals,Manufacturing, including Industrial Biotechology