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We have 13 Computer Science (batteries) PhD Projects, Programmes & Scholarships

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Computer Science (batteries) PhD Projects, Programmes & Scholarships

We have 13 Computer Science (batteries) PhD Projects, Programmes & Scholarships

Computational Screening of Supercapacitors

In order to be self-sufficient with relatively constant energy output, renewable energy sources, such as solar and wind, require that energy be stored during periods of high energy production so that it can be available during periods of low or zero energy production. 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

Accelerating computational materials discovery with diverse toolsets for verification and optimisation

The discovery of new functional materials to drive technologies for the net zero transition, such as batteries, solar absorbers, rare-earth-free magnets for wind power and a myriad of other unmet needs, is a scientific and societal grand challenge. Read more

Renewable Energy and Energy Storage

Getting to 100% renewable energy requires a massive improvement in the performance of energy storage systems which can store vast amounts of energy for periods of days to weeks. 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

Bridging the Gap Between Theory and Practice: Investigating the Barriers to Achieving Projected Energy Savings in Railway Systems

A plethora of energy saving devices and technology have been proposed for railway systems to help save energy. These systems employ technology to either to use an alternative fuel, or to harness existing energy, or to store excess energy in batteries, or to use another chemical gradient. Read more

Computation-driven Design of Functional Materials

The urgent demand for new technologies has greatly exceeded the capabilities of current materials research. In the past decades, computational modelling has been playing an increasingly important role in accelerating materials discovery and innovation. Read more
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