Discover 7 ways materials and chemicals companies adopted AI to accelerate R&D and shorten the time to market.
1. High-performance alloys for aerospace
Design of a nickel-base alloy for a jet engine using machine learning.
2. Batteries for electric vehicles
Predicted state of health, state of charge, and designed the best possible chemical characteristics of molecules that can prove to be the basis of a next-generation battery material.
3. Forging hammers
New molybdenum-base alloys found with 5-fold reduction in experimental time and cost.
4. Antimalarial drug discovery
Built accurate predictive models for activity against the target. Optibrium & Open Source Malaria initiative
5. Data validation
Implemented a fast way to automatically validate complex numerical data.
6. 3D printing
Combined historical data with sparse data to optimize this additive manufacturing process saving 15 years of research.
7. Alkanes for lubricants with superior physical properties
Accurately estimated intractable properties and produced results that were more consistent than those reproduced by other methods.