Vitaliy Yurkiv
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Assistant Professor of Aerospace and Mechanical Engineering
Degrees
- Ph.D. Mechanical engineering
- Heidelberg University, Heidelberg, Germany
Work Experience
- University of Illinois at Chicago (2015 - 2022)
- German Aerospace Center (DLR) (2011 - 2015)
- Heidelberg University (2008 - 2010)
Interests
Teaching
ThermodynamicsEnergy storage and conversionRechargeable batteriesElectric vehicles (EVs)
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.
Courses
Thermodynamics
AME 230 (Spring 2023)
AME 230 (Fall 2022)
Research
AME 900 (Spring 2023)
AME 900 (Fall 2022)
Selected Publications
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
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.