Hartree STFC - IBM Research
IROR Case Studies
Discover how the Innovation Return on Research (IROR) collaborative programme between IBM and STFC has developed solutions across industries to create economic and societal impact.
Boulder detection from seabed sonar images
Researchers based at the STFC Hartree® Centre worked with hydrographic survey company Bibby Hydromap, using computational deep learning techniques to automate the process of labelling boulders in sonar images.
Simulation and machine learning for future medicine
Researchers based at the STFC Hartree® Centre 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.
Machine learning in whisky identification and verification
Researchers based at the STFC Hartree® Centre worked with the Scotch Whisky Research Institute (SWRI) using data analytics to tackle counterfeiting across the sector.
Understanding drug toxicity through gene expression
Researchers based at the STFC Hartree® Centre worked with agricultural and biotechnology company, Syngenta to design bioinformatics tools for high throughput screening of candidate compounds.
Designing novel antimicrobial peptides
Ingenza is working with researchers based at the Science and Technology Facilities Council (STFC) Hartree® Centre on molecular simulation techniques with the potential to reduce the time and costs associated with bringing new drug designs to market.
Computational formulation for polymers
Researchers based at the STFC Hartree® Centre worked with Johnson Matthey, using computational techniques to automate and accelerate the process of identifying properties of novel chemical formulations.
All case studies
The programme has developed a suite of digital assets which have been applied across industry sectors including Chemistry & Materials, Life Sciences, Engineering & Manufacturing and Enabling Technologies.
| PROJECT NAME | PARTNER ORGANIZATION(S) | READ STUDY |
|---|---|---|
| Next generation simulation of biomolecules | GSK | |
| Reducing the risk in vessel turn-arounds for ports | Peel Ports Group | |
| Cognitive chemical manufacturing | AstraZeneca | |
| Predicting novel lipid packing for drug encapsulation | AstraZeneca | |
| Simulation and machine learning for future medicine | AstraZeneca | |
| Improving packing line efficiency | Unilever | |
| Getting the picture of emulsion flows | Unilever | |
| Improving personal care products with advanced simulation | Unilever | |
| Developing visualisation and AI tools for engineering production | Airbus and Virtual Engineering Centre | |
| Boulder detection from seabed sonar images | Bibby Hydromap | |
| Using image recognition to identify vortices for vehicle design | TotalSim | |
| Machine learning in whisky identification and verification | Scotch Whisky Research Institute (SWRI) | |
| Using data analytics to understand our gut microbiome | Quadram Institute | |
| Understanding drug toxicity through gene expression | Syngenta | |
| Understanding soil health through the lens of its microbiome | Rothamsted Research | |
| Designing novel antimicrobial peptides | Ingenza | |
| GPU acceleration at scale with OpenPower platforms | EDF | |
| Computational formulation for polymers | Johnson Matthey |
IBM Research - UK
Working across two locations (Daresbury and Hursley, we are a growing team of over 60 researchers, computational scientists and engineers. Our research is motivated by today’s most pressing challenges to UK industries and institutions.