SimXRD-4M: Big Simulated X-ray Diffraction Data Accelerate the
Crystalline Symmetry Classification
SimXRD-4M: Big Simulated X-ray Diffraction Data Accelerate the
Crystalline Symmetry Classification
Spectroscopic data, particularly diffraction data, contain detailed crystal and microstructure information and thus are crucial for materials discovery. Powder X-ray diffraction (XRD) patterns are greatly effective in identifying crystals. Although machine learning (ML) has significantly advanced the analysis of powder XRD patterns, the progress is hindered by a lack of …