Research by Victor Dudarev

My research is related to the work carried out at IMET RAS on the application of information technology methods for the accumulation, processing and systematization of information on the properties of inorganic compounds, as well as the application of applied mathematical methods of machine learning for solving problems of computer design of inorganic substances - a scientific direction developed at IMET RAS under the supervision of Nadezhda Kiselyova.

Participation in grants from the Russian Foundation for Basic Research (RFBR):

  • Development of algorithms and programs based on precedent-based pattern recognition methods for predicting quantitative physical and chemical properties in the design of yet-to-be-obtained inorganic substances and materials (18-07-00080 A (in rus.), 2018-2020);
  • High-performance nanostructured thermoelectric materials obtained by rapid quenching of the melt into a liquid and spinning of the melt (16-08-00033 A (in rus.), 2016-2018);
  • Analysis of infrastructures for providing data for multidisciplinary research areas with intensive use of data and development of solutions for creating an infrastructure for sharing access to data accumulated abroad and in Russia in such areas (16-07-01028 A (in rus.), 2016-2017);
  • Publication of the scientific work "Integration of information systems in the field of inorganic chemistry and materials science" (16-17-00013 D (in rus.), 2016);
  • Development of algorithms and programs based on pattern recognition methods to detect errors in database information on the properties of inorganic substances and materials (15-07-00980 A (in rus.), 2015-2017);
  • Integration of heterogeneous information systems on inorganic substances properties (14-07-31032 MOL-A (in rus.), 2014-2015);
  • Thermoelectric nanostructured materials obtained by rapid melt quenching (13-08-00041 A (in rus.), 2013-2015);
  • Development of methods and software tools to improve prediction accuracy when solving problems of computer-aided design of new inorganic compounds using pattern recognition algorithms by precedents (12-07-00142 A (in rus.), 2012-2014);
  • Development of models and computational methods for intelligent analysis of incomplete partial-contradictory data and their adaptation in inorganic chemistry (09-01-12060 OFI-M (in rus.), 2009-2011);
  • Development of a system for searching for classifying features in the computer design of new inorganic compounds using pattern recognition methods (09-07-00194 A (in rus.), 2009-2011);
  • Development of a computer-aided design system for inorganic compounds with promising applications in electronics (06-07-89120 A (in rus.), 2006-2008);
  • Implementation of an integrated system of Russian databases for basic research in the field of electronic materials science (04-07-90086 A (in rus.), 2004-2006).

The research results have been published in numerous scientific papers, the most complete of which can be considered the monograph "Integration of information systems in the field of inorganic chemistry and materials science" available for free according to the RFBR policy.