Lei Qiu

Graph-theoretic active learning for the closed-loop discovery of stochastic heterogeneous composites

The results demonstrate that physics-informed graph learning can effectively decouple prediction accuracy from computational intensity, offering a scalable paradigm for the discovery of advanced functional materials.