Machine learning assisted composition design of high-entropy Pb-free relaxors with giant energy-storage

under discharge rate of about 27 ns, along with superior temperature and fatigue stability. Our results present the data-driven model for efficiently exploring high-performance high-entropy relaxors, demonstrating the potential of machine learning in developing relaxors.