Reduced Costs and Increased Supply Resilience
Learn how Citrine's Artificial Intelligence platform can be used to reduce costs and increase supply chain resilience in specialty chemicals.
Reduce Costs, Increase Resilience with AI – Applications in Formulations
Learn how global leaders in specialty chemicals use the Citrine Platform to develop formulations that meet customer performance requirements with lower-cost ingredients, and adapt existing formulations when faced with...
ROI of Materials Informatics
In this webinar, we will discuss how materials informatics can improve return on investment in materials and chemicals R&D.
Getting Started in Data-Driven Chemical and Materials Discovery
This discussion will help you prepare for a new informatics project by exploring how to build useful data sets, identify missing capabilities and communicate expectations.
Applying Machine Learning to Materials Science
Join Citrine Informatics as we go through a high-level overview of what sets AI for materials apart from other fields.
Digitalization and Machine Learning in Chemicals Product Development
This discussion will feature examples of where digitalization and machine learning have had a short term impact for businesses facing such challenges.
Materials-Specific Considerations for Machine Learning
This webinar will discuss domain-specific challenges that arise when applying ML to materials.
Best Practices for Materials Data Management
In this webinar you will learn about the four key pillars of data management in materials and chemistry: Structured, Standardized, Versioned, and Linked.
Visualizing Tradeoffs in Materials Design: Application to Sustainable Sourcing
In this webinar, we’ll learn techniques for visualizing and assessing how R&D decisions affect tradeoffs in performance using machine learning models.
Intro to Machine Learning for Material Scientists
This webinar will be a brief introduction to key concepts and jargon in machine learning (ML).