Material development: getting there faster with co-pilot AI

Interview with Josh Tappan, Director of Marketing, Citrine Informatics

Exclusively for K-MAG

Image: Artificial intelligence; Copyright: PantherMedia/Kiyoshi-Takahase Segundo

Source: PantherMedia/Kiyoshi-Takahase Segundo

24/08/2021

Image: Josh Tappan; Copyright: private

Josh Tappan, Citrine Informatics. Source: private

Image: Graphic; Copyright: Citrine Informatics

This is what the AI-driven product development workflow looks like. It makes manufacturing high-performance, sustainable materials 50-75% faster than traditional methods. Source: Citrine Informatics

Image: Graphic; Copyright: Citrine Informatics

The data structure is tailored to the needs of the industry and captures the entire wealth of physical experiments. Source: Citrine Informatics

Image: Graphic; Copyright: Citrine Informatics

The machine learning models learn from you and your experiments. Expertise and data are used to predict performance. Source: Citrine Informatics

Image: Graphic; Copyright: Citrine Informatics

Design spaces define useful and feasible possibilities. This results in a million possible experiments worth considering. Source: Citrine Informatics

Elena Blume (Editorial team K-MAG)

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