Jaemin Wang

Dr. Jaemin Wang is a Research Fellow at the Max Planck Institute for Sustainable Materials in Düsseldorf, Germany. His research focuses on applying machine learning and computational modeling to advance materials science, particularly in the design and characterization of medium- and high-entropy alloys. Prior to this, he completed his M.S.-Ph.D. integrated program at Pohang University of Science and Technology (POSTECH), Republic of Korea, followed by postdoctoral research at the Center for Advanced Aerospace Materials at POSTECH.

His educational background includes a B.Sc. (2015–2019) and M.Sc.-Ph.D. (2019–2024) in Materials Science and Engineering from POSTECH. His work integrates computational methods with experimental techniques to study microstructural evolution, mechanical properties, and phase transformations in advanced alloys, with applications in additive manufacturing and cryogenics.

Key research areas include:

• Machine learning-driven alloy design and solidification modeling
• Computational modeling of TWIP/TRIP mechanisms in medium-entropy alloys
• Microstructure-control strategies for enhanced mechanical performance
• Cryogenic behavior of carbon-added ferrous alloys
• Phase stability and metastability engineering

His recent publications explore the interplay between precipitation, microstructural hierarchy, and mechanical properties in novel alloy systems. Collaborative efforts focus on bridging AI-driven predictions with experimental validation for real-world material applications.

Dr. Wang is affiliated with the Artificial Intelligence for Material Science research group and contributes to advancing predictive materials science through interdisciplinary approaches.