Content Library

We will explore how surfactant producers, contract manufactures, and brands can use machine learning to transition shampoo formulations to plant-based ingredients.

Grace's experts have developed an easier way to estimate properties needed for chemical engineering using the Citrine Platform. This will save time and enable better process optimization.

Artificial intelligence (AI) is emerging as the differentiator that helps leading companies reduce ingredient and processing costs, maintain and improve performance, and stay ahead of evolving regulations. Join this...

We don’t just lead the field of materials AI — we’re redefining it. Join us as we unveil the next paradigm in materials AI and what it means for...

Hear directly from Dr. Mojdeh Rastgoo-Lemaitre, R&D Digital Product Project Leader at Saint-Gobain as she talks with our Customer Success Principal, Libby vanBuskirk about how the Citrine Platform has...

AI to automatically pre-screen out parts that would fail pore-size qualification.

Replacing toxic ingredients while also retaining technical performance.

Multi-objective optimization for compact, durable nuclear waste forms.

Utilizing LLMs and ML to predict material performance in cold spray manufacturing processes.

Join this webinar to learn how to guide students in building AI models, interpreting results, designing experiments, and selecting optimal candidates for the lab. See the Citrine Platform and...