Life At Citrine – Erin Antono
Hear from Erin Antono as she describes what she likes about working at Citrine.
Hear from Erin Antono as she describes what she likes about working at Citrine.
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.
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.
Hear from Tia Vieria as she describes what she likes about working at Citrine.
Find out about AI model accuracy and quantified uncertainty and the impact these have on business outcomes.
Find out why FAIR data standards are important in the corporate world as well as academia.
Our summer interns had productive summers. Read why they joined Citrine and what they did.
Using machine learning to create a new open database of corrosion-resistant alloys.
Design spaces define the search area for AI models. This blog explains what they are, and how they can be used in AI powered materials research.
High-temperature alloy design is challenging, but crucial to aeronautical applications. Citrine is working on a project to improve the representation of alloys data and develop techniques to to accurately predict properties outside of the range of input data.