A5095941658- Perovskite Materials and Applications
- Solid-state spectroscopy and crystallography
- Machine Learning in Materials Science
- Pigment Synthesis and Properties
- Thermal Expansion and Ionic Conductivity
Lomonosov Moscow State University
2025
We proposed a simple approach for quickly identifying the dimensionality of inorganic substructures, types connections lead halide polyhedra and structure using common powder XRD data ML-decision tree classification model.
Identification of crystal structures is a crucial stage in the exploration novel functional materials. This procedure usually time-consuming and can be false-positive or false-negative. necessitates significant level expert proficiency field crystallography and, especially, requires deep experience perovskite - related hybrid perovskites. Our work devoted to machine learning classification structure types lead halides based on available X-ray diffraction data. Here, we proposed simple...