Webinars

Upcoming Webinars

Check back soon for more webinars!

Past Webinars

Reduce Costs, Increase Resilience, Applications in Formulations Webinar

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...

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AI and smart data infrastructure impact the bottom line and provide positive ROI in materials and chemicals

ROI of Materials Informatics

In this webinar, we will discuss how materials informatics can improve return on investment in materials and chemicals R&D.

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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.

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AI guided R&D helps companies surmount challenges

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.

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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.

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Materials science is unique across all application areas for AI

Materials-Specific Considerations for Machine Learning

This webinar will discuss domain-specific challenges that arise when applying ML to materials.

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The 4 pillars of Data Management: Structured, Standardized, Versioned and Linked

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.

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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.

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Intro to Machine Learning for Material Scientists

This webinar will be a brief introduction to key concepts and jargon in machine learning (ML).

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The Standard Deviation and You

The standard deviation is taught in every statistics class and supported in every statistics software package as a measure of distribution spread or “uncertainty”.

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The core objects that make up Citrine's graphical data model for materials research data

Citrine’s Data Model for Materials Informatics

Come learn how Citrine thinks about materials data, and why a materials-centric data model is fundamental to scaling AI for your organization.

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Optimizing Optical and Mechanical properties chart

Rapid Optimization of Targets and Constraints in Materials Development

This webinar will use a recently completed successful project as a case study to illustrate how AI can guide R&D strategy in materials development.

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Schematic diagram of word embedding vectors

Natural Language Processing for Materials

This webinar will introduce natural language processing for materials science and highlight key tools & methods that you can leverage for your work.

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The various informatics tools that make up a sequential learning workflow

Introduction to Sequential Learning for Materials Development

This talk will cover the statistical fundamentals of machine learning model construction and evaluation, then show how those tools are applied for AI-guided experimentation.

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Schematic diagram of a feed-forward neural network

Deep Learning for Materials

This webinar will introduce basic concepts of neural networks and provide a survey of advanced deep learning methods & tools, and how you can leverage this for your work.

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Feedback

If you would like to provide suggestions or express support for topics you’d like to see, please email us at content@citrine.io.