LCO-sensitive graph neural network framework for high-accuracy energy mapping in NiCoCr medium-entropy alloys
Machine learning (ML) techniques have become pivotal in material design, yet accurately capturing the subtle energy shifts associated with local chemical order (LCO) in multi-principal element alloys remains a significant challenge. This study establishes a graph convolutional neural network (GCNN) framework specifical...