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