We worked with Johnson Matthey, using computational techniques to automate and accelerate the process of identifying properties of novel chemical formulations.
Simulation and machine learning for future medicine
We worked with AstraZeneca to accelerate lead optimisation by providing insights on a new class of drugs with the potential to reduce costs and increase productivity.
Developing visualisation and AI tools for engineering production
Researchers based at the STFC Hartree Centre and the Virtual Engineering Centre, University of Liverpool are working with Airbus in the UK to apply state-of-the-art artificial intelligence (AI) and data visualisation to their production process.
Machine learning in whisky identification and verification
We worked with the Scotch Whisky Research Institute (SWRI) using data analytics to tackle counterfeiting across the sector.
Using image recognition to identify vortices for vehicle design
We worked with TotalSim – an aerodynamics and CFD company – to understand vortex formation in Formula One cars and improve aerodynamic performance.
Understanding drug toxicity through gene expression
We worked with Syngenta – a leading agricultural and biotechnology company – to design bioinformatics tools for high throughput screening of candidate compounds.
Picking the right healthcare app – the data science way
The Hartree Centre assisted healthcare app evaluation specialists ORCHA in exploring data-driven approaches to speed up the review process and enable more sustainable business growth.
Using blockchain for greater finance transparency
As part of the ERDF-funded LCR 4.0 programme, we helped peer-to-peer car finance company BLOCKTRACK to turn an idea into a demonstrator, enabling the adoption of a novel technology.
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