Case Study: KCARBON achieves faster, data-driven carbon fiber additive development with Citrine Informatics

Kcarbon accelerates additive development in 5 months with Citrine Informatics

Kcarbon, the Korea Carbon Industry Promotion Agency, wanted to develop a new additive recipe for carbon fiber manufacturing and compare machine learning-guided R&D to traditional methods. They partnered with vendor Citrine Informatics to tackle this challenge, beginning the project with no prior experimental data. The goal was to create a formulation that met five key performance criteria.

Citrine Informatics implemented its AI platform to build a model from an initial set of 20 experiments. The solution incorporated Kcarbon's domain knowledge to improve the model, which then suggested new formulation candidates. The results showed that the AI-suggested formulations were 4 times more likely to meet all key criteria than those from traditional R&D. This allowed Citrine and Kcarbon to quickly gain critical insights, determining that their current ingredients could not meet all targets simultaneously and efficiently guiding future research directions.

Kcarbon, Korea Carbon Industry Promotion Agency