Closed-loop fully-automated frameworks for accelerating materials discovery
How much can a combination of sequential learning and closed-loop automation accelerate materials discovery?
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,...
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.
Solidarity: Demonstrating Active Allyship
In this panel discussion, Citrine Informatics’ Director of People Operations, Ify Eva Edwards, sits down with other Diversity, Equity, and Belonging leaders to discuss the impact of solidarity.
Increasing Supply Resilience in Adhesives – Machine Learning Strategies
In this webinar, we will explore how AI & Materials Informatics can be applied to this domain to accelerate reformulation efforts in the face of changing raw materials supply.
Getting Data Ready for AI
Dr. Lenore Kubie passes on advice around data strategy.
Data Scientists – a hot commodity in tech
Steve Edkins, Citrine's Data Science Manager, speaks about working at Citrine.
How AI is Being Used By Formulators Today
This webinar will discuss how AI is being used by formulators today – and what made them successful.
Materials informatics and sustainability—The case for urgency
The development of transformative technologies for mitigating our global environmental and technological challenges will require significant innovation in the design, development, and manufacturing of advanced materials and chemicals. To...
AI-DRIVEN DEVELOPMENT OF ADDITIVES FOR CARBON FIBER MANUFACTURING PROCESS
Read how the Citrine Platform was used to develop new carbon fiber process additives with local ingredients in record time.