A new open database of corrosion-resistant alloys
Using machine learning to create a new open database of corrosion-resistant alloys.
What is a Design Space?
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.
Addressing challenges in high-temperature alloy design
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...
Aggregating data to accelerate alloy design
Extracting, cleaning and analyzing and visualizing MPEA data.
The importance of purposeful work
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.
Accelerating electrochemical material discovery for sustainable chemical manufacturing
New electrochemical reactions are needed to reduce the carbon footprint of chemical production. Use AI to find new catalysts.
Mitigating Supply Chain Disruptions in the Materials and Chemicals Industry
How an AI-empowered workflow enables the agility needed to respond to supply chain issues.
Does machine learning work in materials?
Summary of peer reviewed, papers showing experimentally verified predictions of material properties.
Product and Engineering Dynamics at Citrine
Team dynamics can be complicated and fluid, but they are incredibly important if we are to meet our company goals.
7 Things to look for in a Materials Informatics System
Materials Informatics Systems - how do they deliver value and what should one look for when choosing one?