1. 2020
  2. Machine Learning Methods for Predicting the Lattice Characteristics of Materials

    Filanovich, A. N. & Povzner, A. A., May 2020, Proceedings - 2020 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2020. Institute of Electrical and Electronics Engineers Inc., p. 414-416 3 p. 9117689. (Proceedings - 2020 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2020).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  3. 2019
  4. Modeling of unusual lattice properties of superconducting PuCoIn5 based on ab initio calculation

    Filanovich, A. N. & Povzner, A. A., 15 Dec 2019, In: Physica B: Condensed Matter. 575, 5 p., 411693.

    Research output: Contribution to journalArticlepeer-review

  5. Thermodynamic modeling of the lattice properties of ThO2-5wt.%CeO2 mixed oxides with different porosity

    Filanovich, A. N. & Povzner, A. A., 10 Jun 2019, In: International Journal of Modern Physics B. 33, 14, 13 p., 1950146.

    Research output: Contribution to journalArticlepeer-review

  6. Thermal and Elastic Properties of CexTh1 – xO2 Mixed Oxides: A Self-Consistent Thermodynamic Approach

    Filanovich, A. N. & Povzner, A. A., 1 Jan 2019, In: Technical Physics. 64, 1, p. 74-77 4 p.

    Research output: Contribution to journalArticlepeer-review

  7. 2018
  8. Автоматизированная система тестирования знаний: свидетельство о государственной регистрации программы для ЭВМ

    Филанович, А. Н., 21 Dec 2018, Федеральный институт промышленной собственности, Patent No. 2018666829, 26 Nov 2018, Priority No. 2018663335

    Research output: Patent

ID: 78585