69 citations · 110 across the 5 of their papers we have counts for
5 papers
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…
Structure-related bandgap of hybrid lead halide perovskites and close-packed APbX3 family of phases
Ekaterina I. Marchenko, Sergey A. Fateev, Vadim V. Korolev +4
Metal halide perovskites APbX3 (A+ = FA+ (formamidinium), MA+ (methylammonium) or Cs+, X- = I-, Br-) are considered as prominent innovative components in nowadays perovskite solar…
Stable compounds in the CaO-Al2O3 system at high pressures
Ekaterina I. Marchenko, Artem R. Oganov, Efim A. Mazhnik +1
Using evolutionary crystal structure prediction algorithm USPEX, we showed that at pressures of the Earth's lower mantle CaAl2O4 is the only stable calcium aluminate. At pressures…
Crystal chemical insights on lead iodide perovskite doping from revised effective radii of metal ions
Ekaterina I. Marchenko, Sergey A. Fateev, Nikolay N. Eremin +3
Over the last few years of the heyday of hybrid halide perovskites, so many metal cations additives have been tested to improve their optoelectronic properties that it is already d…
Relationships between distortions of inorganic framework and band gap of layered hybrid halide perovskites
Ekaterina I. Marchenko, Vadim V. Korolev, Sergey A. Fateev +4
The unprecedented structural flexibility and diversity of inorganic frameworks of layered hybrid halide perovskites (LHHPs) rise up a wide range of useful optoelectronic properties…