200 materials

The '200 materials' dataset contains a diverse set of structures from various crystal systems, used to evaluate the effectiveness of a generative machine learning model in solving the structures of nanocrystalline materials based on powder diffraction patterns.

Papers using 200 materials (2)

Projectability disentanglement for accurate and automated electronic-structure Hamiltonians2023 · 22 citesAb Initio Structure Solutions from Nanocrystalline Powder Diffraction Data2024 · 1 cites