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materials

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, Blog
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, one size does not fit all, traditional error metrics may not be a good predictor of success, and the specifics of the design challenge have important implications for the optimal configuration of materials discovery strategies.

External Research, Notes on Successful Projects, Blog
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, Blog
Getting Data Ready for AI

Dr. Lenore Kubie passes on advice around data strategy.

Life at Citrine, What We've Learned, Blog
Data Scientists – a hot commodity in tech

Steve Edkins, Citrine’s Data Science Manager, speaks about working at Citrine.

Life at Citrine, Blog
Materials Informatics Platform – Build Versus Buy

Companies are thinking through the build versus buy decision on Materials Informatics platforms. This blog outlines what to think about.

What We've Learned, Blog
Why I Now Care About What Goes Into Everyday Products – Brooke Anderson

Account Executive Brooke Anderson writes an opinion piece about sustainability.

Life at Citrine, Blog
Life At Citrine – Erin Antono

Hear from Erin Antono as she describes what she likes about working at Citrine.

Life at Citrine, Blog
Materials Informatics and Sustainability – the case for urgency

Materials innovation is essential to sustainability. Materials Informatics can accelerate that. To speed up adoption of MI we need both education and public research to produce FAIR data.

What We've Learned, Blog
AI-Guided Closed-loop Synthesis of Nanoparticles for Catalysis

Learn how Citrine worked with SLAC National Accelerator laboratory to optimize synthesis parameters for nanoparticles using an AI-guided closed-loop system in just 12 hours.

Case Studies, Metals, All

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