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Safeguarding Intellectual Property in an AI World
Our customers are innovators, pushing the boundaries of science and engineering to create and optimize materials, chemicals, products, and processes. They generate intellectual property, which is an intangible, but...
What We've Learned
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Getting to market quickly in Cosmetics and Personal Care
Learn how consumer companies are leveraging artificial intelligence to accelerate product development and commercialization of cosmetic and personal care products.
What We've Learned
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Advancements in Predicting the Fatigue Lifetime of Structural Adhesive Joints
In the realm of structural engineering, the behavior of structural adhesives stands as a pivotal yet complex enigma.
Notes on Successful Projects
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A Game-Changer In Materials And Chemicals Development And Deployment
Citrine Catalyst, an innovative digital assistant that leverages large language models designed to support and propel your product development journey into the future.
Business updates
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With great power comes great responsibility
As the power of AI becomes ever more visible, there are inevitably worries about its use. 
Demystification
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The Urgency of AI
Generative AI is disrupting and reshaping many industries globally. In the materials and chemicals space, the effective deployment of AI (or not) is going to separate the winners from...
What We've Learned
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Autonomous electrocatalyst discovery for sustainable nitrogen reduction
Sequential learning and autonomous atomistic simulations help discover new catalysts with co-optimized properties.
External Research, Notes on Successful Projects
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Closed-loop fully-automated frameworks for accelerating materials discovery
How much can a combination of sequential learning and closed-loop automation accelerate materials discovery?
External Research, Notes on Successful Projects
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Quantifying the Performance of Machine Learning Models in Materials Discovery
Our findings illustrate the importance of designing a modeling and discovery workflow which is highly tailored toward the specific problem of interest. In ML and SL for materials discovery,...
External Research, Notes on Successful Projects
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Materials informatics accelerates customer tailored composite material design
Materials Informatics helps a custom thermoplastic producer rapidly identify custom masterbatch + polymer blends for its customized solutions with far fewer experiments than traditional approaches to product development.
Notes on Successful Projects