摘要
2D ferromagnetic(FM)materials are crucial for next-generation spintronic devices owing to their atomic thickness and controllable electron/spin degree of freedom.However,due to the diversity of 2D structures and the complexity of magnetism,massive search for 2D FM materials is still a tough task.Recent development of machine learning technique has shown great potential in rapid searching for material with target property in large chemical space.Nevertheless,due to the lack of material data and proper descriptor,searching for 2D FM materials remains a challenge.
