1. New simulation approach based on Hilbert transform for restoring the amplitude and phase distributions of random fields: carbon nanoparticles using / V. M. Tkachuk et al. Proceedings of SPIE - The International Society for Optical Engineering, Chernivtsi, Ukraine, 16–19 Sept. 2019. DOI : https://doi.org/10.1117/12.2553220.
2. Using carbon nanoparticles for reconstruction of optical speckle field structure / V. M. Tkachuk et al. Proceedings of SPIE - The International Society for Optical Engineering : Online Only, United States, 24–28 Aug. 2020. DOI : https://doi.org/10.1117/12.2567920.
3. Halavka Y. B., Balovsyak S. V., Tkachuk V. M. Properties of carbon nanoparticles for diagnostics of speckle fields. Proceedings of SPIE - The International Society for Optical Engineering : Online Only, United States, 24–28 Aug. 2020. DOI : https://doi.org/10.1117/12.2567917.
4. Maksimyak P. P., Zenkova C. Y., Tkachuk V. M. Carbon Nanoparticles. Production, properties, perspectives of use. Physics and Chemistry of Solid State. 2020. Vol. 21. № 1. P. 13–18. DOI : https://doi.org/10.15330/pcss.21.1.13-18.
5. Zenkova C. Y., Ivanskyi D. I., Tkachuk V. M. Carbon nanoparticles for diagnostic of random speckle-fields: Hilbert transformation application. Proceedings of SPIE - The International Society for Optical Engineering : Online Only, Constanta, Romania, 20–23 Aug. 2020. DOI : https://doi.org/10.1117/12.2567898.
6. Random object optical field diagnostics by using carbon nanoparticles / V. M. Tkachuk et al. Optics Express. 2021. Vol. 29. № 2. P. 916. DOI : https://doi.org/10.1364/oe.411118 (Q1).
7. Carbon nanoparticles for study complex optical fields / V. M. Tkachuk et al. Journal of Optoelectronics and Advanced Materials. 2021. Vol. 23. № 5-6. P. 209–215.
8. Modeling of optical forces in a speckle field / V. M. Tkachuk et al. Proceedings of SPIE - The International Society for Optical Engineering : 15th International Conference, Chernivtsi, Ukraine, 13–16 Sept. 2021. DOI : https://doi.org/10.1117/12.2615508.
9. Structured Light in Applications Related to the Reconstruction of Three-Dimensional Landscape of Nanorough Surfaces / V. M. Tkachuk et al. Optical Memory and Neural Networks. 2022. Vol. 31. № 1. P. 22–35. DOI : https://doi.org/10.3103/s1060992x22010118. (Q2).
10. Fluorescence Record Diagnostics of 3D Rough-Surface Landscapes With Nano-Scale Inhomogeneities / V. M. Tkachuk et al. Frontiers in Physics. 2022. Vol. 9. P. 1–10. DOI : https://doi.org/10.3389/fphy.2021.787821.
