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White Paper - 3 Ways AI Supports Your Sustainability Goals

Summary: 3 Ways Ai supports sustainability goals in product development

As companies across the materials, chemicals, and manufacturing industries prioritize sustainability in product development, they need to figure out how to co-optimize sustainability along withcost, performance, and manufacturability. This paper outlines, with example projects, how AI can support materials and chemicals companies companies in their efforts to source sustainably, improve process efficiency, and develop sustainable products.

Recycled Plastics

AI Unlocks Rapid, multi-objective, sustainable product development

As we all work toward a more sustainable future, we need new materials — and new ways to make materials — to help us solve environmental and humanitarian challenges.

The materials and chemicals industry has a huge role to play, and utilizing the latest technology will enable us to succeed. AI and Materials Informatics can increase the agility of research and development, speeding up the time it takes to develop new materials while simultaneously optimizing processing and materials properties.

Materials Informatics can help us to discover novel new materials and evaluate trade-offs between restricted ingredients and material performance. It is a vital tool for companies looking to reduce emissions and resource intensity, increase circularity, and adapt to a changing world while developing higher-margin, more sustainable products.

AI helps companies co-optimize for cost, energy and emissions, processing, and material performance
AI enables holistic optimization of new materials and chemicals.
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