Computational mechanics
We study critical flows and heat transfer in power generation and transport using the power of supercomputers and innovative machine-learning approaches.
The ever-growing power generation and transport demands need to be met in an affordable and sustainable way. Our research generates the physical insights and prediction tools to help meet this challenge. We exploit the latest simulation advances to study flows and heat transfer at engine-relevant conditions and use unique machine-learning approaches to create new models suitable for design.
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About us
The synergy of our unique in-house simulation and modelling capabilities can deliver new insights and industry design tools with better accuracy.
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Research
We use GPU-accelerated simulations to elucidate flow and heat transfer phenomena in gas turbines and have pioneered a novel machine-learning approach to develop new models with higher accuracy.
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People
Our staff and graduate researchers.