Vitaliy Robert Yurkiv

Interests

Research

Multi-physics modeling and machine learning calculation of energy storage and conversion technologies.Ab-initio density functional theory (DFT) calculations. Thermal measurements of cylindrical and pouch batteries.

Teaching

ThermodynamicsEnergy storage and conversionRechargeable batteriesElectric vehicles (EVs)

Courses

Scholarly Contributions

Journals/Publications

• Mashayek, F., Shahbazian-Yassar, R., Tamadoni, M., Yurkiv, V., Long, L., & Ragone, M. (2022). "Deep Learning for Mapping Element Distribution of High-Entropy Alloys in Scanning Transmission Electron Microscopy Images". Computational Materials Science, 201, 110905. doi:https://doi.org/10.1016/j.commatsci.2021.110905
• Mashayek, F., Yarin, A. L., Yurkiv, V., Sankaran, A., Wu, J., Granda, R., & Halder, S. (2022). “Air Bubble Entrapment during Drop Impact on Solid and Liquid Surfaces”. International Journal of Multiphase Flow, 149, 103974. doi:https://doi.org/10.1016/j.ijmultiphaseflow.2022.103974
• Mashayek, F., Yurkiv, V., Granda, R., & Yarin, A. L. (2022). Paint drop spreading on wood and its enhancement by an in-plane electric field. Physics of Fluids, 34(12), 122112. doi:10.1063/5.0130871
• Mashayek, F., Yurkiv, V., Ramasubramanian, A., Ragone, M., & Kashir, B. (2021). "Application of Fully Convolutional Neural Networks for Feature Extraction in Fluid Flow". Journal of Visualization, 24, 771-785. doi:https://doi.org/10.1007/s12650-020-00732-0
• Shahbazian-Yassar, R., Mashayek, F., Griffin, P., Cheng, M., Rasul, M. G., Yurkiv, V., & Jabbari, V. (2021). “A Smart Lithium Battery with Shape Memory Function”. Small. doi:https://doi.org/10.1002/smll.202102666
• Cheng, M., Ramasubramanian, A., Rasul, M. G., Jiang, Y., Yuan, Y., Foroozan, T., Deivanayagam, R., Tamadoni Saray, M., Rojaee, R., Song, B., Yurkiv, V., Pan, Y., Mashayek, F., & Shahbazian-Yassar, R. (2020). “Direct Ink Writing of Polymer Composite Electrolytes with Enhanced Thermal Conductivities”. Advanced Functional Materials, 31(4), 2006683. doi:http://doi.org/10.1002/adfm.202006683
• Lu, J., Shahbazian-Yassar, R., Mashayek, F., Song, B., Liu, T., Yurkiv, V., Yao, W., & Yuan, Y. (2020). “Beyond volume variation: anisotropic and protrusive lithiation in bismuth” . ACS Nano, 14(11), 15669-15677. doi:http://doi.org/10.1021/acsnano.0c06597
• Mashayek, F., Shahbazian-Yassar, R., Paoli, R., Sharifi-Asl, S., Ragone, M., Ramasubramanian, A., Foroozan, T., & Yurkiv, V. (2020). "The Mechanism of ZN Diffusion Through ZnO in Secondary Battery: A Combined Theoretical and Experimental Study”. Journal of Physical Chemstry, 124(29), 15730-15738. doi:http://doi.org/10.1021/acs.jpcc.0c03514
• Mashayek, F., Shahbazian-Yassar, R., Ragone, M., Foroozan, T., Yurkiv, V., & Ramasubramanian, A. (2020). "Stability of Solid-Electrolyte Interphase on Lithium Metal Surface in Lithium Metal Batteries". ACS Applied Energy Materials, 3(11), 10560-10567. doi:http://doi.org/10.1021/acsaem.0c01605
• Mashayek, F., Shahbazian-Yassar, R., Ramsubramanian, A., Song, B., Yurkiv, V., & Ragone, M. (2020). “Atomic Column Heights Detection in Metallic Nanoparticles Using Deep Learning”. Computational Material Science, 180, 109722. doi:http://doi.org/10.1016/j.commatsci.2020.109722
• Shahbazian-Yassar, R., Ganesan, V., Mashayek, F., Pan, Y., Son, S., Cheng, M., Phakatkar, A. H., Sharifi-Asl, S., Rasul, M. G., Foroozan, T., Deivanayagam, R., Yurkiv, V., Wheatle, B. K., Mogurampelly, S., Cavallo, S., & Rojaee, R. (2020). “Highly-Cyclable Room-Temperature Black Phosphorene Polymer Electrolyte Composites for Li Metal Batteries”. Advanced Functional Materials, 1910749. doi:http://doi.org/10.1002/adfm.201910749
• Mashayek, F., Shahbazian-Yassar, R., Khounsary, A., Najafi, A., Nie, A., Yurkiv, V., & Ramasubramanian, A. (2019). “A Numerical Study on Striped Lithiation of Tin Oxide Anodes”. International Journal of Solids and Structures, 159, 163-170. doi:https://doi.org/10.1016/j.ijsolstr.2018.09.027
• Mashayek, F., Shahbazian-Yassar, R., Ragone, M., Foroozan, T., Yurkiv, V., & Ramasubramanian, A. (2019). “Lithium Diffusion Mechanism through Solid-Electrolyte Interphase (SEI) in Rechargeable Lithium Batteries”
  . Journal of Physical Chemstry, 123(16), 10237-10245. doi:https://doi.org/10.1021/acs.jpcc.9b00436
• Shahbazian-Yassar, R., Lu, J., Amine, K., Mashayek, F., Friedrich, C. R., Long, F., Bi, X., Yurkiv, V., Cheng, M., Liu, C., Tan, G., Yuan, Y., & Yao, W. (2019). “Tuning Li₂O₂ Formation Routes by Facet-engineering of MnO2 Cathode Catalysts”. Journal of the American Chemical Society, 141(32), 12832-12838. doi:https://doi.org/10.1021/jacs.9b05992
• Shahbazian-Yassar, R., Mashayek, F., Rojaee, R., Sharifi-Asl, S., Yurkiv, V., & Foroozan, T. (2019). “Non-Dendritic Zn Electrodeposition Enabled by Zincophilic Graphene Substrates”. ACS Applied Materials & Interfaces, 11(47), 44077-44089. doi:https://doi.org/10.1021/acsami.9b13174
• Subramanian, A., Vasudevamurthy, G., Harris, C. T., Yoo, J., Maksud, M., Ramasubramanian, A., Shikder, M. R., Yurkiv, V., & Mashayek, F. (2019). “Plastic Recovery and Self-healing in Longitudinally Twinned SiGe Nanowires”. Nanoscale, 11(18). doi:https://doi.org/10.1039/C9NR02073J
• Unocic, R. R., Shahbazian-Yassar, R., Veith, G. M., Mashayek, F., Yurkiv, V., Shin, D., Sang, X., Baggetto, L., & Gutierrez-Kolar, J. S. (2019). “Interpreting Electrochemical and Chemical Sodiation Mechanisms and Kinetics in Tin Antimony Battery Anodes using in situ TEM and Computational Methods”. ACS Applied Engineering, 2(5), 3578-3586. doi:https://doi.org/10.1021/acsaem.9b00310
• Mashayek, F., Shahbazian-Yassar, R., Ramasubramanian, A., Foroozan, T., & Yurkiv, V. (2018). “The Influence of Stress Field on Li Electrodeposition in Li-metal Battery” . MRS Communications, 8, 1285-1291. doi:https://doi.org/10.1557/mrc.2018.146
• Mashayek, F., Yarin, A. L., & Yurkiv, V. (2018). “Modeling of Droplet Impact onto Polarized and Non-polarized Dielectric Surfaces”. Langmuir, 34(34), 10169-10180. doi:https://doi.org/10.1021/acs.langmuir.8b01443

Presentations

• Yurkiv, V. R., Phakatkar, A., Shahbazian-Yassar, R., Ragone, M., & Mashayek, F. (2022, December).

  Combined machine learning and density functional theory approach to predict element distribution of high-entropy alloys in scanning transmission electron microscopy images

  . 2022 MRS Meeting. Boston: NSF.