4-Part Workshop: Artificial Intelligence and Machine Learning in Polymer Informatics
Workshop
Artificial Intelligence and Machine Learning in Polymer Informatics
Begins September 3, 2024
All workshop days are from 11:00 AM to 1:00 PM EDT.
Online
Summary
This workshop introduces participants to the emerging field of polymer informatics with a focus on machine learning techniques. Polymer informatics utilizes computational and data-driven approaches to understand and predict polymer properties and behaviors, which is essential for materials innovation. The course will cover foundational concepts in polymer science and machine learning, emphasizing the integration of these disciplines. Participants will learn how to apply various machine learning models, including regression, classification, and neural networks, to solve real-world problems in polymer science and engineering. The course will address data collection, feature selection, model training, and evaluation, specifically tailored to the unique challenges of polymer datasets. Hands-on sessions will guide attendees through the process of building and deploying models using open-source tools and libraries. The course aims to equip researchers, engineers, and data scientists with the skills needed to leverage machine learning in the development of new polymers or plastics and the optimization of existing ones. By the end of the course, participants will have a solid understanding of how machine learning can drive innovation in polymer science and plastic engineering, contributing to advancements in areas such as sustainable materials, biomedical devices, compounding, additives and high-performance polymers.
Agenda
If you can't attend one or several sessions live, or if you want to review some concepts, the recordings will be available after each session.
Registration Information
| SPE Premium Member | $720 |
| SPE Members | $800 |
| Nonmembers | $1,000 |
Not an SPE member? Join today and attend this workshop at a discounted rate!
Instructor
Ying Li, Ph.D.
Professor
University of Wisconsin - Madison
Dr. Ying Li joined the University of Wisconsin-Madison in August 2022 as an Associate Professor of Mechanical Engineering. From 2015 to 2022, he was an Assistant Professor of Mechanical Engineering at the University of Connecticut and was promoted to Associate Professor. He received his Ph.D. in 2015 from Northwestern University, focusing on the multiscale modeling of polymers and related biomedical applications. His current research interests are: multiscale modeling, computational materials design, mechanics and physics of polymers, and machine learning-accelerated polymer design. Dr. Li’s achievements in research have been widely recognized by fellowships and awards, including ACS Polymeric Material Science and Engineering (PMSE) Young Investigator Award (2023), NSF CAREER Award (2021), Air Force’s Young Investigator Award (2020), 3M Non-Tenured Faculty Award (2020), ASME Haythornthwaite Young Investigator Award (2019), NSF CISE Research Initiation Initiative Award (2018) and multiple best paper awards from major conferences. He has authored and co-authored more than 130 peer-reviewed journal articles, including Science Advances, Nature Communications, Physical Review Letters, ACS Nano, and Macromolecules, etc. He has been invited as a reviewer for more than 100 international journals, such as Nature Communications and Science Advances. Dr. Li’s lab is currently supported by multi-million-dollar grants and contracts from NSF, AFOSR, AFRL, ONR, DOE/National Nuclear Security Administration, DOE/National Alliance for Water Innovation, and industries.
Questions? Contact:
For questions, contact Iván D. López.
This educational program is provided as a service of SPE. The views and opinions expressed on this or any SPE educational program are those of the Speaker(s) and/or the persons appearing with the Speaker(s) and do not necessarily reflect the views and opinions of Society of Plastics Engineers, Inc. (SPE) or its officials, employees or designees. To comment or to present an opposing or supporting opinion, please contact us at info@4SPE.org.
Copyright & Permission to Use
SPE may take photographs and audio/video recordings during the conference, pre-conference meetings and receptions that may include attendees within sessions, networking areas, exhibition areas, and other areas associated with the conference both inside and outside of the venue. By registering for this event, all attendees are providing permission for SPE to use this material at its discretion on SPE's websites, marketing materials, and publications. SPE retains ownership of copyright to all photographs and audio/video recording obtained at this event and attendees may request copies of any material in which they are included.
Refund Policy
No refunds are available for this course.
Anti-Trust Statement
- No discussion among members, volunteers, or staff, which attempts to arrive at any agreement regarding prices, terms or conditions of sale, distribution, volume, territories, or customers;
- No activity or communication which might be construed as an attempt to prevent any person or business entity from gaining access to any market or customer for goods or services or any business entity from obtaining services or a supply of goods;
- No activity or communication which might be construed as an agreement to refrain from purchasing or using any materials, equipment, services or supplies of or from any supplier; or
- No other activity which violates anti-trust or applicable laws aimed at preventing unfair competition.
