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Webinar Series
Summer Research Internship Program Webinars 2025
Topic: Hands-on tutorial 2: Applying Physics-Informed Neural Network to Solve PDE in Heat Transfer
Speaker:
Haizhou Wen
Clemson University
Topic: Hands-on tutorial 1: Approximating Functions with Neural Network
Speaker:
Haizhou Wen
Clemson University
Topic: Introduction to Machine Learning for Science
Speaker:
Haizhou Wen
Clemson University
AIM Outreach Webinars 2025 (Season 3)
AIM EFRC Outreach Webinar 10/31/25
Topic: AI and the Job Market for Engineers
Speaker:
Peter Cappelli Phd
University of Pennsylvania
AIM EFRC Outreach Webinar 09/30/25
Topic: The Promises and Pitfalls of Teams and Group Collaborations
Speaker:
Mary Rose Phd
University of Texas
AIM EFRC Outreach Webinar 04/28/25
Topic: Conflict Resolution: Evidence Based Best Practices
Speaker:
Dustin Sleesman Phd
University of Delaware
AIM Outreach Webinars 2024 (Season 2)
AIM EFRC Outreach Webinar 12/16/24
Topic: Career Paths In R&D
Speaker:
Dr. Ryan Hahnlen
Honda Development & Manufacturing of America
AIM EFRC Outreach Webinar 11/18/24
Topic: Lessons Learned in Innovation
Speaker:
Dr. Chris Curry
Exxonmobil
AIM EFRC Outreach Webinar 10/28/24
Topic: A Perspective of Career Opportunities in Technical Consulting within Polymers and Manufacturing
Speaker:
Erik Foltz M.S.
The Madison Group
AIM Outreach Webinars 2024 (Season 1)
AIM EFRC Outreach Webinar 7/12/24
AIM EFRC Outreach Webinar 7/26/24
Topic: Hand-on tutorial: Using AI to solve PDEs
Speaker:
Minglei Lu
Clemson University
Topic: Solving ordinary differential equations by AI (Hands on)
Speaker:
Minglei Lu
Clemson University
AIM EFRC Outreach Webinar 6/21/24
Topic: Introduction to SciML Learning Material Properties by AI
Speaker:
Minglei Lu
Clemson University
AIM Discovery Series 2023 (Season 1)
Klausner AIM Webinar 6/1/23
Topic: High-temperature Thermochemical Energy Storage
Speaker:
Dr. James Klausner
Michigan State University
Li AIM Webinar 5/4/23
Topic: Machine Learning-accelerated Molecular Design of Innovative Polymers: Advanced Manufacturing, Extreme Conditions, and Sustainable Energy Solutions
Speaker:
Dr. Ying Li Ph.D
University of Wisconsin
Zapiain AIM Webinar 4/6/2023
Topic: Data-driven Plastic Anisotropy Predictions Using Crystal Plasticity and Deep Learning Models
Speaker:
Dr. David Montes de Oca Zapiain
Sandia National Laboratory
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