Discovering "Beyond Points" in Membrane R&D with AI | Gyeongsang National University
AI is enabling materials researchers to go beyond conventional formulation limits and discover new performance frontiers. In this interview, Prof. Sang-Yong Nam from Gyeongsang National University shares how Polymerize’s AI-driven inverse prediction and intuitive interface helped his team rapidly validate data and achieve breakthrough experimental results.
How can AI help materials researchers discover "Beyond Points"—the unknown optimal formulations that exceed conventional limits?In this video, we sit down with Professor Sang-Yong Nam from the Department of Nanomaterials Engineering at Gyeongsang National University. Specializing in functional polymers and membranes, Prof. Nam shares how Polymerize’s intuitive UI and powerful AI inverse prediction capabilities enabled his research team to rapidly validate data and achieve unprecedented experimental results.
