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AI Application Potential and Prospects in Materials Science: a Focus on Polymers

April 2 @ 11:55 am - 12:20 pm CDT

2025 Spring IEEE OKC Webinar Series
IEEE OKC invites you to join the event below, organized by Oklahoma International Publishing, as part of its 2025 Spring OkIP Conferences on Wednesday, April 2, 2025.
This virtual event is free of charge to IEEE Oklahoma City members. Please register ahead of time to receive the proper instructions for remote participation:
>> Speaker(s):
Raphael Kpoghomou, University of Toulouse
Valerie Nassiet, University of Toulouse
Bernard Kamsu-Foguem, Tarbes Technological University
>> Talk:
AI Application Potential and Prospects in Materials Science: a Focus on Polymers
>>> Abstract:
The integration of artificial intelligence (AI) into materials science is profoundly transforming polymer discovery, manufacturing and quality control. This study explores the potential of AI-based approaches in three key areas: (1) prediction of polymer properties using advanced models such as PolymerGNN and PolyBERT, (2) optimization of industrial processes via reinforcement learning to improve energy efficiency and material quality, and (3) automatic defect detection using computer vision models such as YOLOv8 and Faster R-CNN. Experimental results show significant improvements in terms of prediction accuracy, energy consumption reduction (10-25%) and defect identification efficiency. Despite these advances, challenges remain, notably data quality, model interpretability and integration into industrial processes. This study highlights the transformative impact of AI on polymer science, and provides an analysis of the performance of applied models.
Co-sponsored by: Pierre Tiako
Agenda:
12:00pm – 12:18pm Virtual Meeting
12:18pm- 12:20pm Virtual Meeting Q &A
Virtual: https://events.vtools.ieee.org/m/479230

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