A new open database of corrosion-resistant alloys
Using machine learning to create a new open database of corrosion-resistant alloys.
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.
Extracting, cleaning and analyzing and visualizing MPEA data.
The best missions don’t just provide lip service to pipe dreams, they add purpose to the work employees are pushing toward on a daily basis.
New electrochemical reactions are needed to reduce the carbon footprint of chemical production. Use AI to find new catalysts.
How an AI-empowered workflow enables the agility needed to respond to supply chain issues.
Summary of peer reviewed, papers showing experimentally verified predictions of material properties.
Team dynamics can be complicated and fluid, but they are incredibly important if we are to meet our company goals.
Materials Informatics Systems – how do they deliver value and what should one look for when choosing one?