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We have 116 Computational Chemistry PhD Projects, Programmes & Scholarships

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Computational Chemistry PhD Projects, Programmes & Scholarships

We have 116 Computational Chemistry PhD Projects, Programmes & Scholarships

Molecular Simulations and Data-driven Modelling for Polymer Nanocomposite Membranes

The urgent need to mitigate climate change has led to increased focus on sustainable energy solutions. This includes the development of mixed matrix membranes (MMMs) for gas separation in net-zero applications. Read more

EPSRC Doctoral Training Partnership 2024/25: Chemistry

  Research Group: School of Chemistry
Becoming an innovator in the School of Chemistry at the University of Leeds!. For 2024/25 entry, we are offering you the opportunity to join our thriving community of leading researchers within the School of Chemistry. Read more

Deploying safer robot chemists in real laboratory environments

Robotic chemists [1] are a totally new and disruptive development in human-centric labs, and these systems are already beginning to carry out complex experiments that require skills beyond sample transportation (e.g., sample weighing [2] and scraping samples from vials [3]. Read more

Predictive molecular models of high-performance elastomers in demanding environments

High-performance elastomers enable some of the most sophisticated modern technology. They are designed to operate in the often-punishing environments such as those encountered in aerospace industries. Read more

Modelling exsolution: materials design for sustainable energy

One of the primary challenges for the global community is the supply of plentiful and affordable energy, moving the world away from dependence on fossil fuels by providing green alternatives. Read more

Design and control of nanoparticle structuring and self-organisation

Nature forms many materials which possess intricate structures on length scales from nanometres to many microns, which are important in applications ranging from biological systems to porous materials for energy storage. Read more

Computationally driving automated functional materials discovery for net zero technologies with machine reasoning and decision-making

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

Automated experimental functional materials discovery for net zero technologies

The discovery of materials that will drive technologies for the net zero transition, such as batteries, solar absorbers, rare-earth-free magnets for wind power and myriad other unmet needs, is a scientific and societal grand challenge that requires experimental realisation of materials in the laboratory. Read more

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