Predicting pharmacokinetics with Optibrium and AstraZeneca
Optibrium and AstraZeneca - drug discovery | Successfully predicts pharmacokinetics
Read more
Understanding and improving steel performance with OCAS
OCAS – steels | Insights from process and microstructure data
Read more
Project MEDAL – Data-driven Additive Manufacturing
AMRC, Boeing, Constellium, GE Additive - AM | Optimising process parameters
Read more
Composite manufacturing with The AMRC
The AMRC – composite manufacturing | Cutting testing costs and wastage
Read more
Design of automotive catalysts at Johnson Matthey
Johnson Matthey – automotive catalysts | Reduced the amount of experiment required
Read more
Imputation of sensory properties using deep learning
With Optibrium and IFF | Now published in the Journal of Computer-Aided Molecular Design
Read more
Alchemite™ machine learning identifies potential antimalarial drug compound
With Optibrium and Open Source Malaria | Now published in the Journal of Medicinal Chemistry
Read more
Materials and process development with Lucideon
Lucideon – materials and process development | Supporting simulation and experiment
Read more
Material and component design with NASA
NASA – material and component design | Alchemite™ gives accurate predictions
Read more
Optimising kinase profiling programs with Optibrium and Genentech
Optibrium and Genentech - drug discovery | Accurate models despite sparse data
Read more
Improving materials data quality at Matmatch
Matmatch – specialist scientific data | Added value by gap filling and quality checking data
Read more
Improving hardfacing consumables with Welding Alloys Group
Welding Alloys Group – hardfacing materials | Improved cost, performance, eco impact
Read more