The discovery of new functional materials has traditionally relied on time-consuming and costly trial-and-error methods, often taking over 20 years for a material to move from initial discovery to commercial use. Prof. Ming YANG, Assistant Professor of the Department of Applied Physics of The Hong Kong Polytechnic University, is transforming this process through a data-driven, AI-powered approach that significantly increases the speed, accuracy, and efficiency of identifying advanced materials for electronics and energy technologies.
