activity
20202024
most citedDatabase of 2D hybrid perovskite materials: open-access collection of crystal structures, band gaps and atomic partial charges predicted by machine learning

179 citations · 382 across the 9 of their papers we have counts for

collaborators
Showing 2024 · cond-mat.mtrl-sciShow all

2 papers · 2 filters

cond-mat.mtrl-sci2024

Topological representation of layered hybrid lead halides for machine-learning using universal clusters

Ekaterina I. Marchenko, Maria G. Khrenova, Korolev V. V. +2

Layered hybrid halide compounds offer promising functional properties, particularly tunable band gaps, conductivity, light harvesting thus making them prospective for applications…

cond-mat.mtrl-sci2024★ 8 cited

Machine Learning Recognition of hybrid lead halide perovskites and perovskite-related structures out of X-ray diffraction patterns

E. I. Marchenko, V. V. Korolev, E. A. Kobeleva +5

Identification of crystal structures is a crucial stage in the exploration of novel functional materials. This procedure is usually time-consuming and can be false-positive or fals…