Ruoyu Huang

Multi-objective and cross-scale inverse design of temperature-control materials via physics-constrained machine learning

Abstract Temperature-control materials, notably composite phase-change materials (CPCMs), show great potential for the thermal management of next-generation power electronics. However, the synergistic optimization of multiple performance metrics still relies heavily on Edisonian...