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Information × Registration Number 0222U002895, 0119U001548 , R & D reports Title "Machine learning approaches with use of neural networks and hierarchical methods of study of thermodynamic characteristics of solids". popup.stage_title Head Pozhyvatenko Vitalii V, Registration Date 16-02-2022 Organization V.O. Sukhomlynskyi Mykolaiv National University popup.description2 Object of research – alkaline-earth oxides and chalcogenides; ternary compounds of oxides and chalcogenides; quaternary compounds alkaline-earth oxide MgCaSrO. The aim of the work is to study the thermodynamic properties and structural phase transitions in alkaline-earth oxides and chalcogenides and in their ternary and quaternary compounds. The research methods are the use of first-principles approaches based on density functional theory which precede the application of machine learning methods. Calculations of thermodynamic properties and characteristics of phase transitions of alkaline-earth oxides and chalcogenides and their ternary and quaternary solid solutions have been performed.   Product Description popup.authors Pozhyvatenko Vitalii Volodymyrovych popup.nrat_date 2022-03-09 Close