NASA – material and component design | Alchemite™ gives accurate predictions Johnson Matthey – automotive catalysts | Reduced the amount of experiment required Domino Printing Sciences – ink formulation | Maximised value from lab resources AMRC and Boeing - process parameters for AM | Reduce experimentation Optibrium and AstraZeneca - drug discovery | Successfully predicts pharmacokinetics Rolls-Royce - aerospace alloys | New alloy design satisfying 11 property criteria Welding Alloys Group – hardfacing materials | Improved cost, performance, eco impact Optibrium and Genentech - drug discovery | Accurate models despite sparse data GKN Aerospace - alloy design | Virtual experiments deliver results in seconds
Intellegens selected for cleantech collaboration with UK/India industry giants Jan 2022. Project targets net zero manufacturing with Tata Steel, Johnson Matthey, and Godrej Aerospace. Intellegens features in Metal AM Magazine Intellegens has featured in the Winter 2021/22 edition of Metal AM Magazine discussing machine learning for Additive Manufacturing. Formulation and manufacturing of batteries Dec 2021. Accepted for publication in Cell Reports Physical Science - Alchemite™ machine learning applied to graphite electrodes for lithium-ion batteries.
Machine Learning for Battery Applications: White Paper Intellegens white paper. Battery formulations, battery pack design, battery management systems. Alchemite™ deep learning – solving complex problems with real-world data Intellegens white paper. An overview of the Alchemite™ deep learning technology. Transforming materials and process development with machine learning A recorded webinar featuring Dr Richard Padbury from materials technology experts Lucideon.
