Citrine Informatics, Inc.

Gregory Joseph Mulholland

Julia Black Ling

Jason Stuart Koeller

Erin Melissa Tan Antono

Alexander Willem Anton Van Grootel

James Samuel Peerless

A device generates a capability map. The device receives one or more design spaces from a materials supplier, the one or more design spaces including candidate components and capabilities of tools available to the materials supplier. The device inputs a design space of the one or more design spaces into a machine learning model, the training data including a plurality of components including input materials and/or chemicals, and, for respective combinations of the plurality of components, a plurality of respective performance properties. The device receives as output from the model a capability map of the materials supplier storing possible combinations of performance properties and a respective difficulty of developing a composition with that combination of performance properties. The device outputs a user interface for display to a user indicating data of the capability map.

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San Francisco, CA, United States of America

Gregory Joseph Mulholland