Chetinel I., Botnar A.A., Novikov A.S., Muraveva E.A., Ireddy A.T., Zun P.S., Соловьева С.Е., Антипин И., Skorb E.V., Muravev A.A. Control of Self-Organization of Thiacalix[4]Crown-Ethers in Cone and 1,3-Alternate Forms in Nanofilms on Quartz Substrate. Colloid Journal. 2025. Vol. 87. No. 2. pp. 236-245.. doi: 10.1134/S1061933X25600083
Huaman I.A., Zun P.S., Fedorets A., Nosonovsky M., Skorb E.V. DropClust: A platform for microscopical image and video analysis applied to levitating droplet clusters. Colloids and Surfaces A: Physicochemical and Engineering Aspects. 2025. Vol. 727. No. Part 1. pp. 138153.. doi: 10.1016/j.colsurfa.2025.138153
Четинел И., Ботнарь А.А., Новиков А.С., Муравьева Е.А., Иредди А., Зун П.С., Соловьева С.Е., Антипин И.С., Скорб Е.В., Муравьев А.А. Контроль самоорганизации тиакаликс[4]краун-эфиров в формах конус и 1,3-альтернат в нанопленках на кварцевой подложке. Коллоидный журнал. 2025. Т. 87. № 2. С. 149-160.. doi: 10.31857/S0023291225020076
Gorab F., Ireddi A., Zun P., Zhukov M., Kozodaev D.A., Volova T.G., Shishatskaya E.I., Skorb E.V. Quantitative analysis of nanomechanical properties of polyhydroxyalkanoate polymer films. Progress in Organic Coatings. 2025. Vol. 201. pp. 109092.. doi: 10.1016/j.porgcoat.2025.109092
Huaman I.A., Gorab F., Chumakova S.S., Pisarenko A.A., Dudaev A.E., Volova T.G., Ryltseva G.A., Ulasevich S., Shishatskaya E.I., Scorb E., Zun P.S. Cellpose+, a morphological analysis tool for feature extraction of stained cell images. Advanced Intelligent Discovery. 2025. pp. in press.. doi: 10.1002/aidi.202500005
Ireddy A.T., Gorab F., Shishatskaya E.I., Ryltseva G.A., Dudaev A.E., Kozodaev D.A., Nosonovsky M., Skorb E.V., Zun P.S. Benchmarking Unsupervised Clustering Algorithms for Atomic Force Microscopy Data on Polyhydroxyalkanoate Films. ACS Omega. 2024. Vol. 9. No. 19. pp. 21595–21611.. doi: 10.1021/acsomega.4c02502
Fedorets A., Koltsov S., Muravev A.A., Fotin A., Zun P., Orekhov N., Nosonovsky M., Skorb E.V. Observation of a chemical reaction in a levitating microdroplet cluster and droplet-generated music. Chemical Science. 2024. Vol. 15. No. 30. pp. 12067-12076.. doi: 10.1039/d4sc03066d
Coupling Between a Finite Element Model of Coronary Artery Mechanics and a Microscale Agent-Based Model of Smooth Muscle Cells Through Trilinear Interpolation
Фотин А.Д., Зун П.С. Гибридизация конечно-элементной и агентной механической моделей сосуда посредством трилинейной интерполяции. Сборник трудов XII Конгресса молодых ученых (Санкт-Петербург, 3-6 апреля 2023 г.). 2023. Т. 3. С. 249-252.
Fotin A., Zun P. Coupling Between a Finite Element Model of Coronary Artery Mechanics and a Microscale Agent-Based Model of Smooth Muscle Cells Through Trilinear Interpolation. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2023. Vol. 10475. pp. 258–269.. doi: 10.1007/978-3-031-36024-4_20
Shramko O., Svitenkov A., Zun P. Gravity influence in one-dimensional blood flow modeling. Procedia Computer Science. 2023. Vol. 229. pp. 8-17.. doi: 10.1016/j.procs.2023.12.002
Kakhaia S., Zun P., Ye D., Krzhizhanovskaya V. Inverse uncertainty quantification of a mechanical model of arterial tissue with surrogate modelling. Reliability Engineering and System Safety. 2023. Vol. 238. pp. 109393.. doi: 10.1016/j.ress.2023.109393
Ye D., Zun P.S., Krzhizhanovskaya V., Hoekstra A. Uncertainty quantification of a three-dimensional in-stent restenosis model with surrogate modelling. Journal of the Royal Society Interface. 2022. Vol. 19. No. 187. pp. 20210864.. doi: 10.1098/rsif.2021.0864
Huaman I., Zun P., Shramko O., Svitenkov A.I. Coupling 1D blood circulation model and substance absorption model to study drug metabolization. Procedia Computer Science. 2022. Vol. 212. pp. 114-121.. doi: 10.1016/j.procs.2022.10.213
Ye D., Nikishova A., Veen L., Zun P.S., Hoekstra A. Non-intrusive and semi-intrusive uncertainty quantification of a multiscale in-stent restenosis model. Reliability Engineering and System Safety. 2021. Vol. 214. pp. 107734.. doi: 10.1016/j.ress.2021.107734
Zun P.S., Svitenkov A.I., Hoekstra A.G. Effects of local coronary blood flow dynamics on the predictions of a model of in-stent restenosis. Journal of Biomechanics. 2021. Vol. 120. pp. 110361.. doi: 10.1016/j.jbiomech.2021.110361
Шрамко О.А., Свитенков А.И., Зун П.С. Может ли индекс коллатерального потока влиять на динамику развития рестеноза?. Российский журнал биомеханики. 2021. Т. 25. № 2. С. 145-158.. doi: 10.15593/RZhBiomeh/2021.2.03
Suleimenova D., Arabnejad H., Edeling W., Coster D., Luk O., Lakhlili J., Jancauskas V., Kulczewski M., Veen L., Ye D., Zun P., Krzhizhanovskaya V., Hoekstra A., Crommelin D., Coveney P.V., Groen D. Tutorial applications for Verification, Validation and Uncertainty Quantification using VECMA toolkit. Journal of Computational Science. 2021. Vol. 53. pp. 101402.. doi: 10.1016/j.jocs.2021.101402
Svitenkov A.I., Zun P.S., Shramko O. Stenosis Assessment via Volumetric Flow Rate Calculation. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2021. Vol. 12744. pp. 707-718.. doi: 10.1007/978-3-030-77967-2_59
Shramko O., Svitenkov A.I., Zun P.S. Can collateral flow index have an influence on restenosis growth dynamics?. Russian Journal of Biomechanics. 2021. Vol. 25. No. 2. pp. 123-134.. doi: 10.15593/RJBiomech/2021.2.03
Zun P.S., Narracott A.J., Evans P., Van Rooij B., Hoekstra A.G. A particle-based model for endothelial cell migration under flow conditions. Biomechanics and Modeling in Mechanobiology. 2020. Vol. 19. No. 2. pp. 681-692.. doi: 10.1007/s10237-019-01239-w
Zun P.S., Narracott A.J., Chiastra C., Gunn J.P., Hoekstra A.G. Location-Specific Comparison Between a 3D In-Stent Restenosis Model and Micro-CT and Histology Data from Porcine In Vivo Experiments. Cardiovascular Engineering and Technology. 2019. Vol. 10. No. 4. pp. 568-582.. doi: 10.1007/s13239-019-00431-4
Nikishova A., Veen L., Zun P., Hoekstra A.G. Semi-intrusive multiscale metamodelling uncertainty quantification with application to a model of in-stent restenosis. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences. 2019. Vol. 377. No. 2142. pp. 20180154.. doi: 10.1098/rsta.2018.0154
Nikishova A., Veen L., Zun P., Hoekstra A.G. Uncertainty Quantification of a Multiscale Model for In-Stent Restenosis. Cardiovascular Engineering and Technology. 2018. Vol. 9. No. 4. pp. 761-774.. doi: 10.1007/s13239-018-00372-4
VPH conference 2018
Zun P.S., Anikina T., Svitenkov A.I., Hoekstra A.G. A Comparison of Fully-Coupled 3D In-Stent Restenosis Simulations to In-vivo Data. Frontiers in Physiology. 2017. Vol. 8. No. MAY. pp. 284.. doi: 10.3389/fphys.2017.00284
Hoekstra A.G., Alowayyed S., Lorenz E., Melnikova N.B., Mountrakis L., Van Rooij B., Svitenkov A.I., Zavodszky G., Zun P. Towards the virtual artery: A multiscale model for vascular physiology at the physics-chemistry-biology interface. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences. 2016. Vol. 374. No. 2080. pp. 20160146.. doi: 10.1098/rsta.2016.0146
Svitenkov A., Zun P., Rekin O., Hoekstra A.G. Partitioning of arterial tree for parallel decomposition of hemodynamic calculations. Procedia Computer Science. 2016. Vol. 80. pp. 977-987.. doi: 10.1016/j.procs.2016.05.393
Multiscale model for studying the interaction between coronary collaterals and in-stent restenosis
Zun P., Hoekstra A.G. On the possible interaction mechanism between collateral vessels and restenosis. Procedia Computer Science. 2015. Vol. 66. pp. 412-418.. doi: 10.1016/j.procs.2015.11.047
Zun P.S., Svitenkov A.I. Modelling of ion convection during electrochemical oxidation of aluminium. Journal of Physics: Conference Series. 2014. Vol. 541. No. 1. pp. 012025.. doi: 10.1088/1742-6596/541/1/012025
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