Available On-demand Until October 8, 2027
Paint, coatings, adhesives and sealants teams are under pressure to reduce VOCs and remove PFAS without sacrificing performance. AI-guided formulation tools can help product experts evaluate alternatives, focus laboratory testing and navigate complex formulation trade-offs more efficiently. Through industry case studies, this webinar will explore how AI can help identify PFAS-free formulations and select surfactant blends for water-based products. Attendees will learn how to:
- Respond to regulatory changes and customer demands faster.
- Assess alternative raw materials with fewer physical tests, increasing product-development productivity.
- Capture and reuse formulation knowledge, enabling more product experts to contribute to complex projects.
 Hannah Melia Head of Marketing Citrine Informatics Hannah Melia has a degree in Materials Science from the University of Cambridge, and has worked in the area of Materials software for 17 years. First at Granta Design working closely with Professor Mike Ashby on materials selections and education, and for the last 6 years in the area of Machine Learning for Materials, Chemicals and CPG. She is now Head of Marketing at Citrine Informatics who have more than a decade of experience successfully rolling out AI to materials and chemicals enterprises like Saint Gobain, LyondellBassel, Altana and Arkema.  Ece Karaarslan Materials Informatics Engineer Citrine Informatics Ece Karaarslan is a Materials Informatics Engineer at Citrine Informatics, where she collaborates with industry teams to apply artificial intelligence and machine learning to complex materials science challenges. She supports customers in leveraging the Citrine Platform to accelerate materials development, improve data quality, and build predictive models for materials performance.
Ece holds a Master’s degree in Materials Science from TU Darmstadt, where her research focused on lithium-ion battery cathode materials, using atomistic simulations to study chemomechanical behavior. Prior to her work in materials informatics, she worked in digital R&D teams in the hair care industry, contributing to data-driven product development in hair color technologies.
|
|
|
First Name
|
|
Last Name
|
|
Job Title
|
|
Company
|
|
State/Province
|
|
Postal Code
|
|
Country
|
|
Work Email
|
|
Time Zone
|
|
Phone
|
|
What is your primary business/industry?
|
|
What is your primary job function?
|
|
How do you currently choose what experiment to run next?
|
|
What’s your biggest challenge at the moment?
|
|
Subscribe/renew the following:
|
|
I agree to receive email communications from BNP Media, Inc./BNP Media II, LLC and its advertising partners containing news, updates, and promotions regarding products and offers in accordance with BNP Media’s Privacy Policy.
|
|
I consent to this information being shared with BNP Media, Inc./BNP Media II, LLC advertising partners for marketing purposes and to be otherwise processed in accordance with BNP Media’s Privacy Policy.
I understand that I can withdraw this consent at any time.
Please refer to BNP Media’s Privacy Policy for more information or contact us at privacy@bnpmedia.com |
By clicking "register", you acknowledge that you have read BNP Media's Privacy Policy, agree to its terms, and consent to allow BNP Media to use your information consistent with the Privacy Policy. You agree your information submitted will be shared with the sponsor(s) of the webinar.
|
|
|
|
 |
|
|