White paper
Discover seven ways materials and chemicals companies adopt Alchemite™ machine learning to accelerate R&D and shorten the time to market.
Alloy Design – examples include aero engine alloys and steels.
Optimising Chemistry – predicting the sensory properties of compounds and designing new catalysts.
Additive Manufacturing – optimising process parameters for new AM materials and processes.
Pharmaceuticals – vital insights to help identify new candidate compounds and therapeutics, faster.
Formulated Products – applications include foods, paints, inks, pharmaceuticals, and personal care products.
Batteries – identify new materials and formulations for batteries, battery pack design, and battery management.
Plastics – improve performance, increase sustainability, and respond to regulatory challenges.
