Prof. Sang-Yong Nam shares how Polymerize's AI-driven inverse prediction helped his team validate data rapidly and reach formulations beyond conventional limits.
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.
See how Polymerize helps materials teams move from data to decisions.
