Content Library

Generative AI is disrupting and reshaping many industries globally. In the materials and chemicals space, the effective deployment of AI (or not) is going to separate the winners from...

Materials and chemicals product-development teams are being asked to reach demanding property targets while managing cost, supply risk, regulatory pressure, and limited lab capacity. The teams that realize value...

In this webinar, leaders from Stepan share how the company is using the Citrine AI Platform and materials informatics to strengthen R&D resilience and accelerate its response to changing...

Today the Citrine Platform regularly powers data-driven materials discovery across industries, having moved beyond one-off demonstrations into routine industrial practice.

This webinar will offer a grounded look at what it takes to move from interest in AI to adoption inside product development workflows.

See how agentic AI workflows and advanced predictive models help teams move from product goal to recommended next experiment faster.

Better models matter, but the bigger challenge is helping more scientists trust and use AI in everyday product development.

This study presents an iterative AI-guided workflow that accelerates graphite-based anode development by improving both formulation feasibility and process robustness. Sequential learning via AI/ML-guided multiobjective inverse design for anode...

With > 580 different projects run on the Citrine Platform each month, companies using our platform are discovering new ways to gain value. In this webinar we will fly...

In this webinar, we will walk through a case study demonstrating how AI can simultaneously optimize for cost, mechanical performance, and flame retardancy in PU foams, by integrating domain...

Join a conversation on how AI is changing the way leading materials and chemicals companies develop, reformulate, and commercialize products. We will focus on practical ways to make AI...