Все публикации



Identification of the porosity distribution of a functionally graded piezoactive bimorph based on information about stationary vibrations using genetic algorithms

Soloviev A., Chebanenko V., Germanchuk M. Identification of the porosity distribution of a functionally graded piezoactive bimorph based on information about stationary vibrations using genetic algorithms // MODERN PROBLEMS IN MODELING MATERIALS FOR MECHANICAL, MEDICAL AND BIOLOGICAL APPLICATIONS (MPMM&A-2023). Theses of the reports of the Third International Conference / г. Rostov-on-Don, (27.11.2023 г.– 30.11.2023 г.). — nan: nan, 2023. — EDN: LYROEW.


Image Reconstruction Algorithm of Optoacoustic Signal Transformation Based on Neural Networks

Starchenko I.B., Kravchuk D.A., Chernov N.N., Orda-Zhigulina D.V. Image Reconstruction Algorithm of Optoacoustic Signal Transformation Based on Neural Networks // Physics and Mechanics of New Materials and Their Applications. PHENMA 2023. Springer Proceedings in Materials / Parinov I.A., Chang SH., Putri E.P. (eds). — Cham: Springer, 2024.— Vol. 41. — P. 571-576. — DOI: 10.1007/978-3-031-52239-0_53. — Индексация: Scopus — 14 % (Q4); УБС — не входит.




Impedance Spectroscopy Study of 0.7Pb(Mn1/3Nb2/3)O3 – 0.3PbTiO3 Ceramic

Abdulvakhidov B., Sadykov S., Alshoekh A., Li Z., Abdulvakhidov K., Plyaka P., Dmitrenko I. Impedance Spectroscopy Study of 0.7Pb(Mn1/3Nb2/3)O3 – 0.3PbTiO3 Ceramic //2023 International Conference on "Physics and Mechanics of New Materials and Their Applications" (PHENMA 2023). Abstracts & Schedule / г. Surabaya, Indonesia, (03.10.2023 г.– 08.10.2023 г.). — nan: Southern Federal University, 2023. — EDN: EGPCNM.