Topological Evolution of Polymer Networks
Lead Research Organisation:
UNIVERSITY OF CAMBRIDGE
Department Name: Physics
Abstract
Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.
Organisations
People |
ORCID iD |
Nikolaos Nikiforakis (Primary Supervisor) | |
Mark Jenei (Student) |
Publications

Jenei M
(2023)
Computational modelling of polymer network formation

Jenei M
(2020)
Molecular simulation of thermoset curing: application to 3D printing materials
in Molecular Simulation
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 |