Materials and Chemicals

Data-driven design and development of materials, chemicals, processes, and formulated products

Key benefits

	Design and develop materials, chemicals, and formulations, gaining insight into what controls properties
	Optimize process parameters and ensure production quality
	Focus experiment and testing, achieving better results for less time and cost

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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.

Additive manufacturing

Understand vital property/process relationships for reliable, repeatable AM processes. Accelerate time-to-market.

Plastics and elastomers

Improve the design, blending, and processing of polymeric materials, minimising trial-and-error

Chemistry and chemical processes

Data-driven chemistry – cut out trial-and-error and accelerate discovery and development.

Formulation design

Optimise formulated products such as paints, inks, cosmetics, foodstuffs, personal care products, and more.

Batteries

Optimise battery materials and chemistries, along with battery packs and battery management.

Process optimisation and control

Apply all available data to optimise production processes and maintain quality.

Data validation

Understand data accuracy and uncertainty, identify outliers, populate missing data.

Design of experiments

Design experiment programmes to get more from fewer experiments

Software providers

Embed the Alchemite deep learning algorithms into your materials or chemicals solution.

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