
About this webinar
Join us for a live session on using AI to accelerate chemistry and materials R&D. We will demonstrate how Multi-Sigma®, AIZOTH’s no-code AI analytics platform, helps researchers build predictive models, explain results, and optimize experiments without programming.
Through real-world case studies and a live demo, you will see how AI can reduce trial and error, uncover key drivers, and support faster, data-driven decisions.
Whether you are in the lab or leading a research team, this session will help you apply AI to your work with clarity and confidence.
What You’ll Learn
- How to train AI models from scratch without coding
- How AI helps reduce trial-and-error in R&D
- Techniques to explain scientific results using AI
- How to optimize synthesis and formulation processes
- Real examples from battery research, chemical design, and more
Who Should Attend
- Scientists and engineers in materials or chemistry
- R&D teams and innovation managers
- Anyone tired of guesswork in experimental workflows
- Curious minds exploring AI in science
Speaker
Navin R.I, Ph.D.
Material informatics researcher
AIZOTH Inc.
Webinar registration
Overcome Challenges in Chemistry & Materials R&D Using AI
Date: Tuesday, September 9, 2025
Time: 10:00 AM PT / 1:00 PM ET
Duration: 30 minutes
Online (Free Registration)