Toward application-driven battery design through digital twins

In present energy technology, materials discovery, device design, manufacturing, and operation remain predominantly sequential, with limited cross-stage feedback throughout the development chain. Recent advances are, however, converging toward a common design philosophy, in which the application requirements inform early design decisions at materials and cell level before large-scale physical realization. Using battery systems as a compelling testbed, this Research Highlight explores how digital twins could establish continuous learning from deployment to design, shortening innovation cycles and accelerating industrial implementation.