Vitaliy Yurkiv

Assistant Professor of Aerospace and Mechanical Engineering
Member of the Graduate Faculty
Vitaliy Yurkiv

AME N617

520.621.4254
vyurkiv@arizona.edu

Degrees

  • PhD 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

Thermodynamics, energy storage and conversion, rechargeable batteries, electric vehicles (EVs), electric airplanes, heat transfer and engineering analysis

Research

  • Thermal-electrochemical investigations of batteries, focusing on thermal runaway prediction and prevention
  • Thermal measurements of cylindrical and pouch batteries
  • Multi-physics modeling and machine learning applications in energy storage and conversion technologies
  • Ab-initio density functional theory (DFT) calculations

Courses

Thermodynamics

AME 230

Independent Study

AME 299

Engineering Analysis

AME 301

Battery Systems and Control

AME 447/547

Directed Research

AME 492

AME Special Topics

AME 596

Independent Study

AME 699

Research

AME 900

Thesis

AME 910

Dissertation

AME 920

Scholarly Contributions

Selected Journals/Publications

  • Basab Ranjan Das Goswami, Yasaman Abdisobbouhi, Hui Du, Farzad Mashayek, Todd A Kingston, Vitaliy Yurkiv. Advancing battery safety: Integrating multiphysics and machine learning for thermal runaway prediction in lithium-ion battery module, Journal of Power Sources 614, 235015, 2024.
  • Basab Ranjan Das Goswami, Massimiliano Mastrogiorgio, Marco Ragone, Vahid Jabbari, Reza Shahbazian-Yassar, Farzad Mashayek, Vitaliy Yurkiv, A combined multiphysics modeling and deep learning framework to predict thermal runaway in cylindrical Li-ion batteries, Journal of Power Sources 595, 234065, 2024.
  • Basab Ranjan Das Goswami, Vahid Jabbari, Reza Shahbazian-Yassar, Farzad Mashayek, Vitaliy Yurkiv. Unraveling Ion Diffusion Pathways and Energetics in Polycrystalline SEI of Lithium-Based Batteries: Combined Cryo-HRTEM and DFT Study, The Journal of Physical Chemistry C, 127 (45) 21971-21979, 2023.
  • Marco Ragone, Reza Shahabazian-Yassar, Farzad Mashayek, Vitaliy Yurkiv. Deep learning modeling in microscopy imaging: A review of materials science applications, Progress in Materials Science, 10165, 2023.
  • Amiri, A., Ghildiyal, P., Phakatkar, A. H., Shahbazian-Yassar, R., Shokuhfar, T., Sorokina, L. V., Wang, Y., Yurkiv, V., & Zachariah, M. R. (2023). In Situ Microscopic Studies on the Interaction of Multi-Principal Element Nanoparticles and Bacteria. ACS Nano, 17(6), 5880-5893. doi:10.1021/acsnano.2c12799
  • Das Goswami, B. R., Jabbari, V., Shahbazian-Yassar, R., Mashayek, F., & Yurkiv, V. (2023). Unraveling Ion Diffusion Pathways and Energetics in Polycrystalline SEI of Lithium-Based Batteries: Combined Cryo-HRTEM and DFT Study. The Journal of Physical Chemistry C, 127(45), 21971-21979. doi:10.1021/acs.jpcc.3c05395
  • Jabbari, V., Yurkiv, V., Ghorbani, A., Mashayek, F., & Shahbazian-Yassar, R. (2023). Fast rate lithium metal batteries with long lifespan enabled by graphene oxide confinement. Energy Advances, 2(5), 712-724. doi:10.1039/d3ya00083d
  • Ragone, M., Shahabazian-Yassar, R., Mashayek, F., & Yurkiv, V. (2023). Deep learning modeling in microscopy imaging: A review of materials science applications. Progress in Materials Science, 138, 101165. doi:10.1016/j.pmatsci.2023.101165
  • Saray, M. T., Yurkiv, V., & Shahbazian‐Yassar, R. (2023). Role of Kinetics and Thermodynamics in Controlling the Crystal Structure of Nickel Nanoparticles Formed on Reduced Graphene Oxide: Implications for Energy Storage and Conversion Applications. ACS Applied Nano Materials, 6(12), 10033-10043. doi:10.1021/acsanm.2c05528
  • Tamadoni Saray, M., Yurkiv, V., & Shahbazian‐Yassar, R. (2023). In Situ Thermolysis of a Ni Salt on Amorphous Carbon and Graphene Oxide Substrates. Advanced Functional Materials, 33(28). doi:10.1002/adfm.202213747
  • Yurkiv, V., Rasul, G., Phakatkar, A. H., Mashayek, F., & Jabbari, V. (2023). In situ formation of stable solid electrolyte interphase with high ionic conductivity for long lifespan all-solid-state lithium metal batteries. Energy Storage Materials, 57, 1-13. doi:10.1016/j.ensm.2023.02.009
  • Halder, S., Granda, R., Wu, J., Sankaran, A. N., Yurkiv, V., Yarin, A. L., & Mashayek, F. (2022). Air bubble entrapment during drop impact on solid and liquid surfaces. International Journal of Multiphase Flow, 149, 103974. doi:10.1016/j.ijmultiphaseflow.2022.103974
  • 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

  • Y. AbdiSobbouhi, BRD Goswami, F. Mashayek, TA Kingston, V .Yurkiv. PRiME 2024 (October 6-11, 2024). From Electrochemical Analysis to Machine Learning Prediction: A Comprehensive Approach to LIB Safety.
  • BR Das Goswami, Y. AbdiSobbouhi, V. Yurkiv, Electrochemical Society Meeting Abstracts 245, 324-324. Advancements in Li-Ion Battery Safety: A Multiphysics and Deep Learning Approach for Thermal Runaway Prediction.
  • 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.

Awards

  • 2024 DEPSCoR award