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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

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Applications in materials and chemicals

Alloy design and development
Alloy design and development

Design new or improved alloys, optimise process parameters, ensure quality, and characterise alloys efficiently.

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Additive manufacturing
Additive manufacturing

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

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Plastics and elastomers
Plastics and elastomers

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

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Chemistry and chemical processes
Chemistry and chemical processes

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

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Formulation design
Formulation design

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

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Batteries
Batteries

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

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Process optimisation and control
Process optimisation and control

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

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Data validation and analysis
Data validation and analysis

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

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Design of experiments
Design of experiments

Design experimental or data acquisition programs to get more from fewer experiments

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Software providers

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

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