7 examples of how materials and chemical companies innovate with AI
Design new or improved alloys, optimise process parameters, ensure quality, and characterise alloys efficiently.
Understand vital property/process relationships for reliable, repeatable AM processes. Accelerate time-to-market.
Improve the design, blending, and processing of polymeric materials, minimising trial-and-error.
Data-driven chemistry - cut out trial-and-error and accelerate discovery and development.
Optimise formulated products such as paints, inks, cosmetics, foodstuffs, personal care products, and more.
Optimise battery materials and chemistries, along with battery packs and battery management.
Apply all available data to optimise production processes and maintain quality.
Understand data accuracy and uncertainty, identify outliers, populate missing data.
Design experimental or data acquisition programs to get more from fewer experiments
Embed the Alchemite deep learning algorithms into your materials or chemicals solution. Learn more…