Materials Development

  • How do you efficiently manage the process of developing a new formulation/product?
  • How do you improve the performance of an existing formulation/product in a timely manner?
  • How do you replace/improve supply chain ingredients of existing formulations/products?

Common Challenges in materials development

  • New materials development requires formulations/recipes as well as manufacturing processes.
  • Data is highly multidimensional and hierarchical and requires long and tedious experimentation cycles to obtain.
  • For the most part, designing the next experiment is a result of trial and error rather than data-driven methodology and this causes long time to market and large efforts and costs
  • Transforming raw lab data into an AI/ML ready format requires much effort and expertise resulting in very low and inefficient use of materials informatics tools
  • Materials development requires too many experiments and iterations to reach the desired performance target. This is a waste of time and resources. 
  • Lost information. Not every result is recorded, leading to less than perfect predictive models and waste of time and resources.

The value proposition of MaterialsZone

  • Drastically reduces the number of experiment iterations to optimize the formulation performance through efficient design of experiments. This results in reduced R&D costs and faster time to market for materials development.
  • Focuses on parameters (variables) that really matter.
  • Rapid accumulation of knowledge and predictability.
  • Easy application of AI/ML visualizations, insights and predictions.
  • One platform, all the data, all the insights, all the stakeholders (R&D, scale-up, manufacturing QC, supply chain alternatives selection).
  • No loss of knowledge.

The advantages of a Materials Informatics Platform (MIP)?

  • Flexible data model that supports multiple dimensions, multiple types of data and any hierarchical nesting and association inherent in materials data.
  • Flexibility to accumulate data incrementally and continuously while the AI/ML insights and visualizations update as well.
  • Easily applied AI/ML visualizations, insights and predictability. 
  • Simple workflow (figure 1) to obtain the desired results in the shortest way possible.

MaterialsZone solution for Materials Development

Formulations are everywhere - polymers, building materials, composites, additive manufacturing, etc. Formulation development is the basis of companies developing materials-based products. In formulation-based products, usually the product performance depends on the product formulation and less on processing.

Typically, designing or developing a new formulation is triggered by new product specifications to meet. Along with product specification come constraints on the materials to use, processing constraints, etc.

To avoid trial-and-error methodology and stick with a data-driven approach, MaterialsZone has developed an efficient workflow (figure 1) for formulation development that will reduce your R&D efforts and significantly reduce the number of experiments and iterations needed to reach the desired formulation.

Figure 1: Formulation development workflow.

Other MaterialsZone solutions include:

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