Citrine | Blog

Models, in isolation, generate no value. A model is an incredibly powerful tool—it combines expert knowledge with real-world data to extract insight, uncover hidden relationships, and communicate what truly...

We'll explore smart data practices at three critical levels: organizational strategy, team management, and individual research projects. Whether you're starting with minimal datasets or managing complex data infrastructure, these...

R&D leaders embarking on a digital transformation journey face a common dilemma: should you start with Electronic Lab Notebooks (ELN), a Laboratory Information Management System (LIMS), or a Materials...

Packaging manufacturers face unprecedented challenges across multiple dimensions. The delicate balance between performance objectives, regulatory compliance, sustainability mandates, and supply chain volatility has created a complex landscape that traditional...

Global supply chains are facing increasing challenges, highlighting the need for new approaches to material production. One promising avenue involves developing methods to create high-performance materials from low-quality, variable...

In the rapidly evolving world of AI within materials and chemicals industries, Bayesian optimization (BO) has re-emerged as a powerful tool. In this blog post, we will explore why...

AI will transform R&D, but only if scientists can trust and adopt the tools built for them.

What sets Citrine apart from its competitors is its ability to deliver tangible business value swiftly, thanks to a unique blend of technological innovation and deep domain expertise.

ChatGPT has revolutionized AI-assisted tasks, but it’s not suited for everything—especially in materials and chemical product development.

In the fast-paced world of coatings, adhesives, and sealants (CAS), there’s a pressing need to accelerate research and development (R&D) and utilize better tools for finding substitute ingredients, optimizing...