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We have 4 Polymer Chemistry (prediction) PhD Projects, Programmes & Scholarships

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Polymer Chemistry (prediction) PhD Projects, Programmes & Scholarships

We have 4 Polymer Chemistry (prediction) PhD Projects, Programmes & Scholarships

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Investigation into the Impact of Material Properties on the Gas Transport Behaviour of Polyolefin Materials

University of Surrey School of Mechanical Engineering Sciences
The sustainable use of polymeric materials is underpinned by ensuring long service life in all industries and applications. Understanding durability requires research into the effects of both manufacturing methods and environmental storage conditions on the material properties and performance over time. Read more
 Supervisors: Dr M Whiting, Dr JB Bone
 1 July 2024  PhD Research Project  Funded PhD Project (UK Students Only)
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Using Natural Language Processing and molecular simulations to build polymer databases

The University of Manchester Department of Chemistry
A fully funded PhD position in multiscale modelling of polymer composites is available in the group of Professor Carbone at the University of Manchester from October 2024. Read more
 Supervisor: Dr P Carbone
 Year round applications  PhD Research Project  Funded PhD Project (UK Students Only)
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Accelerating energy landscape exploration through optimisation, approximation and parallelisation

University of Liverpool School of Electrical Engineering, Electronics and Computer Science
Many heuristic methods (random walks, probabilistic selection, genetic algorithms) for energy landscape exploration in Crystal Structure Prediction (CSP) [1] are very important material discovery tools [2]. Read more
 Supervisor: Prof I Potapov
 30 June 2024  PhD Research Project  Funded PhD Project (Students Worldwide)
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Computationally driving automated functional materials discovery for net zero technologies with machine reasoning and decision-making

University of Liverpool Department of Chemistry
This project, suited to a student with a Computer Science or Mathematics background, will formally define the nature and consequences of the decisions that need to be made in the automated workflow and identify both the optimal combination of existing methods and tools to accelerate discovery and the gaps in capability that currently exist. Read more
 Supervisors: Prof RIJ Ibsen-Jensen, Prof M J Rosseinsky
 30 June 2024  PhD Research Project  Funded PhD Project (Students Worldwide)
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