Revvity24webinar
Webinar

Harnessing AI for faster and more efficient plastics formulation development

Webinar byRevvity Signals
Revvity Signals
  • 50 min
  • by

    Jun Liu

AI-powered Electronic Laboratory Notebooks (ELN) and Laboratory Information Management Systems (LIMS) are transforming plastics development by streamlining data management, improving reproducibility, and accelerating R&D.


 

These tools use AI to predict formulations, suggest improvements, and summarize results, boosting collaboration and regulatory compliance. As the plastics industry seeks sustainable, high-performance materials, AI-driven ELN and LIMS are key to faster, more efficient formulation development.


 

This webinar will showcase how the AI-powered Signals® Research Suite simplifies R&D workflows and enhances collaboration in a single platform. Register now to watch the recording!


 



 

Presented by:
Length:

50 min

Why should you attend?

In this webinar, you will learn...

  • How AI can predict and optimize plastics formulations.
  • Ways to accelerate research and development with AI-powered tools.
  • How centralized platforms enhance collaboration and traceability.
  • Methods to make data-driven decisions that lead to innovative solutions.

Who should attend?

  • Formulators
  • Marketing Managers
  • Brand Managers
  • R&D Managers
  • Technical Managers

Presenters

Author picto3

Jun Liu

Marketing Manager

Jun Liu is a Senior Marketing Manager responsible for Industrial Chemistry segment marketing activities at Revvity Signals. Jun has over 10 years of marketing and business development experience in the Specialty Chemical industry and worked as a software engineer in the semiconductor industry. He has a MBA degree and a MS in Electrical Engineering from the University of Texas at Austin and holds a BS in Computer Engineering from Michigan Technology University.