A seminar on physics-informed machine learning approaches for additive manufacturing.
Speaker: Asst. Prof. Dr. Sultan Zeybek
This seminar will present physics-informed machine learning approaches that address learning under small-data conditions in additive manufacturing processes. Within the scope of the seminar, hybrid approaches that combine physics-based models with data-driven methods will be discussed, along with how these approaches improve predictive performance.
Date: April 21, 2026
Time: 13:00 – 14:00
Venue: Faculty of Management, ISB 210