DataLab Webinar: The Path to Decarbonization in Materials and Chemicals
Join our DataLab webinar on February 16th with Citrine CEO, Greg Mulholland, and Dr. Julia Attwood, the Head of Sustainable Materials at BloombergNEF.
Webinars
Upcoming Webinars
Check back soon for more webinars!
Past Webinars
DataLab Webinars
In our DataLabs series, Citrine CEO Greg Mulholland speaks with other high-level executives at innovative companies.
DataLab Webinar: Accelerating Sustainable Product Development with Materials Informatics
Join our DataLab webinar as Greg Mulholland of Citrine Informatics and Dr. Ashish Batra of Corteva discuss how to incorporate sustainability goals into R&D initiatives.
DataLab Webinar: The Sustainable Future of Agricultural Chemicals
In this webinar, we’re joined by Anantha Desikan, the Executive Vice President and Chief Innovation and Technology Officer at ICL, to discuss sustainability across the agricultural chemical and food supply chain.
DataLab Webinar: Cultural and Technological Transformation in Data-Driven R&D
In this webinar, Citrine CEO Greg Mulholland is joined by Preeti Kamakoti, a technology leader at ExxonMobil, where she’ll discuss the founding, growth, and successes of the Data-Driven Design group within Exxon’s materials research and development organization.
DataLab Webinar: The Intersection of Sustainability and Digitalization
An executive discussion between the founders of Citrine Informatics and Zymergen on the intersection of sustainability and digitalization. They discuss how Zymergen has developed sustainable products in record time through automation, AI and informatics.
The business case
Webinars that show how AI leads to business value and sustainable competitive advantage.
How AI is Being Used By Formulators Today
This webinar will discuss how AI is being used by formulators today – and what made them successful.
AI: The Sustainability Accelerator in Materials and Chemicals
Join our webinar to learn how AI can support companies in achieving ambitious sustainability goals.
The Business and Scientific Value of Artificial Intelligence in R&D of New Materials
This webinar summarizes how AI is impacting materials companies through faster speeds to market, increased responsiveness to customer and market needs and greater knowledge retention and new hire onboarding.
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.
The Future of Work in the Materials Industry
Join us for a conversation between academia and industry about the future of work in the materials industry.
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 supply chain disruptions.
ROI of Materials Informatics
In this webinar, we will discuss how materials informatics can improve return on investment in materials and chemicals R&D.
Get More Value From Data Management
This webinar will share considerations for selecting and rolling out a Materials Informatics System (MIS) when investing in digitalization in materials and chemicals development.
Concepts
Webinars that explain technical topics.
Introduction to AI for Materials Science
Bryce Meredig (Chief Science Officer and Co-founder at Citrine) will demonstrate how Artificial Intelligence can accelerate materials development and enable data-driven decisions in materials and chemicals research and development.
Why Domain Knowledge Integration is Critical for AI in Materials and Chemicals
Materials and Chemicals data is sparse. It is not “Big Data”. Which is why you need to use every bit of domain knowledge expert domain knowledge at your disposal to get value from AI in the materials and chemicals industry.
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.
Materials-Specific Considerations for Machine Learning
This webinar will discuss domain-specific challenges that arise when applying ML to materials.
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).
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”.
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.
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.
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.
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.
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.
Get More Value From Data Management
This webinar will share considerations for selecting and rolling out a Materials Informatics System (MIS) when investing in digitalization in materials and chemicals development.
AI for different markets
Webinars that look at how AI can be applied to formulations, polymers, glass and other materials.
Increasing Supply Resilience in Adhesives – Machine Learning Strategies
In this webinar, we will explore how AI & Materials Informatics can be applied to this domain to accelerate reformulation efforts in the face of changing raw materials supply.
Better Batteries Through AI
Dr. Jake Mohin, Sr. Data Solutions Engineer at Citrine Informatics, leads a webinar about the creation of better batteries through AI.
Artificial Intelligence for Additive Manufacturing
Join our webinar with Dr. James Saal as he discusses how Artificial Intelligence cuts through the complexity of Additive Manufacturing. James will present case studies where Citrine’s technology has been used to solve AM challenges.
Catalysis for AI – Overcoming Data Scarcity
In this webinar, Malcolm Davidson, Citrine’s Senior Data Solutions Engineer, will describe why AI is particularly suited to modeling catalytic reactions and give examples of how the Citrine Platform overcomes the challenge of data scarcity in catalysis projects.
Applying AI to Paints and Coatings R&D
This webinar will showcase the benefits of combining AI with physics-based simulations at different length scales, from atomic and molecular simulation to microstructural modelling tools and FEA.
Using AI and Smart Data Management to Accelerate Innovation and Optimize Product Development of Adhesives & Sealants
In this webinar, participants will learn how the Citrine Platform combines AI and smart data management to accelerate research and development and improve customer responsiveness.
Unique Challenges in AI for Formulations
Join Yoolhee Kim, data scientist at Citrine, as she shares lessons learned from our experience working with leading formulations companies.
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 supply chain disruptions.
Panel Discussion: AI-Driven Polymer Development – Challenges and New Horizons
Join Citrine, NIST, Cal Poly, Dow and MIT for a panel discussion about the use of AI for polymers.
Data-Driven Ceramics and Glass Research
Bryce Meredig joins MRS panel to discuss application of data science tools toward the design, understanding, and optimization of ceramic and glass materials.
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.
Integration
Webinars highlighting how AI can both use simulation data as an input or produce predicted data that can be used in simulations.
Digital paradigms for material design: Use of AI and multi-scale physics-based simulation
This webinar will showcase the benefits of combining AI with physics-based simulations at different length scales, from atomic and molecular simulation to microstructural modelling tools and FEA.
AI-driven Generative Material Design
Led by Jan Leuridan, SVP at Siemens Digital and Greg Mulholland, CEO at Citrine, this talk was recorded at Siemens Realize LIVE 2020.
Life at Citrine
Webinars that reflect the core values of Citrinauts.
Barriers to Belonging in Tech
In this panel discussion, Citrine Informatics sits down with Diversity, Equity, and Belonging leaders in Tech to discuss systemic and organizational barriers to experiencing belonging at work.
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.