Materials and Chemicals

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

Key benefits

	Design materials, chemicals, and formulations, gaining deep insight into properties
	Optimise products and processes, responding to market and regulatory requirements
	Focus experiment and testing, achieving better results with 50-80% less time and cost

White paper

7 examples of how materials and chemical companies innovate with AI

Find out how Alchemite™ machine learning helps for...

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

Overviews

Read the datasheets on Alchemite™ machine learning for the materials and chemicals industries.

PDF datasheet – materials design & development

PDF datasheet – chemicals industry

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