Ivan A. Kruglov

Hydrogen sulfide at high pressure: Change in stoichiometry

Hydrogen sulfide

Machine learning scheme for fast extraction of chemically interpretable interatomic potentials

({\mathrm{H}}_{2}\mathrm{S})

Actinium Hydrides AcH10, AcH12, and AcH16 as High-Temperature Conventional Superconductors

was studied by x-ray synchrotron diffraction and Raman spectroscopy up to 150 GPa at 180--295 K and by quantum-mechanical variable-composition evolutionary simulations. The experiments show that

Uranium polyhydrides at moderate pressures: Prediction, synthesis, and expected superconductivity

{\mathrm{H}}_{2}\mathrm{S}

Structure and properties of metastable phases of m-Sb2Te3and m-Bi0.4Sb1.6Te3

becomes unstable with respect to formation of compounds with different structure and composition, including Cccm and a body-centered cubic like (

Iron Superhydrides FeH5 and FeH6: Stability, Electronic Properties, and Superconductivity

R3m

Energy-free machine learning force field for aluminum

or

High-temperature superconductivity of uranium hydrides at near-ambient conditions

Im\ensuremath{-}3m

High-Temperature Superconductivity in Th-H System at Pressure Conditions

)

Refined phase diagram of the H-S system with high- Tc superconductivity

{\mathrm{H}}_{3}\mathrm{S}