White Paper
Updated with new case studies and publications
Discover 7 ways materials and chemicals companies adopt Alchemite™ machine learning to accelerate R&D and shorten the time to market.
1. Alloy design
Examples include aero engine alloys and steels.
2. Optimising chemistry
Predicting the sensory properties of compounds and designing new catalysts.
3. Additive Manufacturing
Optimising process parameters for new AM materials and processes.
4. Life sciences
Vital insights to help identify new candidate compounds and therapeutics, faster.
5. Formulated products
Applications include foods, paints, inks, pharmaceuticals, and personal care products.
6. Batteries
Identify new materials and formulations for batteries, battery pack design, and battery management.
7. Plastics
Improve performance, increase sustainability, and respond to regulatory challenges.