Posted in | Materials Analysis

Optimizing Chemical and Mechanical Recycling with AI

Sustainability regulations and customer demands are accelerating the transition to recycled plastics. However, technological issues such as adapting to different feedstocks, regulating the color and clarity of the recycled material, and maintaining strength persist.

AI is utilized in both chemical and mechanical recycling to increase productivity by optimizing operations and understanding the additions required to produce a consistent result. This webinar will explain how the Citrine Platform is used to adapt to different feedstocks and maximize solvent recycling.

Watch the webinar to discover how artificial intelligence can accelerate the transition to sustainability.

What You Will Learn

  • How AI can optimize production settings and solvent mixes to extract reusable monomers for a more circular plastics industry.
  • How AI can help plastic recyclers identify necessary additives and fillers for different feedstocks.
  • How the Citrine Platform may be utilized by polymer specialists without data science experience.

Other Webinars from Citrine Informatics

Tell Us What You Think

Do you have a review, update or anything you would like to add to this content?

Leave your feedback
Your comment type
Submit

Materials Webinars by Subject Matter

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.