| Lithium diffusion mechanism through solid–electrolyte interphase in rechargeable lithium batteries A Ramasubramanian, V Yurkiv, T Foroozan, M Ragone, ... The Journal of Physical Chemistry C 123 (16), 10237-10245, 2019 | 211 | 2019 |
| Data driven estimation of electric vehicle battery state-of-charge informed by automotive simulations and multi-physics modeling M Ragone, V Yurkiv, A Ramasubramanian, B Kashir, F Mashayek Journal of Power Sources 483, 229108, 2021 | 85 | 2021 |
| Stability of solid-electrolyte interphase (SEI) on the lithium metal surface in lithium metal batteries (LMBs) A Ramasubramanian, V Yurkiv, T Foroozan, M Ragone, ... ACS Applied Energy Materials 3 (11), 10560-10567, 2020 | 46 | 2020 |
| Understanding Zn electrodeposits morphology in secondary batteries using phase-field model V Yurkiv, T Foroozan, A Ramasubramanian, M Ragone, ... Journal of The Electrochemical Society 167 (6), 060503, 2020 | 37 | 2020 |
| Atomic column heights detection in metallic nanoparticles using deep convolutional learning M Ragone, V Yurkiv, B Song, A Ramsubramanian, R Shahbazian-Yassar, ... Computational Materials Science 180, 109722, 2020 | 22 | 2020 |
| Deep learning for mapping element distribution of high-entropy alloys in scanning transmission electron microscopy images M Ragone, MT Saray, L Long, R Shahbazian-Yassar, F Mashayek, ... Computational Materials Science 201, 110905, 2022 | 16 | 2022 |
| Application of fully convolutional neural networks for feature extraction in fluid flow B Kashir, M Ragone, A Ramasubramanian, V Yurkiv, F Mashayek Journal of Visualization 24, 771-785, 2021 | 15 | 2021 |
| The Mechanism of Zn Diffusion Through ZnO in Secondary Battery: A Combined Theoretical and Experimental Study V Yurkiv, T Foroozan, A Ramasubramanian, M Ragone, S Sharifi-Asl, ... The Journal of Physical Chemistry C 124 (29), 15730-15738, 2020 | 3 | 2020 |
| A combined multiphysics modeling and deep learning framework to predict thermal runaway in cylindrical Li-ion batteries BRD Goswami, M Mastrogiorgio, M Ragone, V Jabbari, ... Journal of Power Sources 595, 234065, 2024 | 2 | 2024 |
| Deep learning modeling in microscopy imaging: A review of materials science applications M Ragone, R Shahabazian-Yassar, F Mashayek, V Yurkiv Progress in Materials Science, 101165, 2023 | 2 | 2023 |
| Predicting Thermal Failures Using an Advanced Data-Driven Modeling Framework in a Cylindrical Li-Ion Battery Pack BR Das Goswami, M Mastrogiorgio, M Ragone, F Mashayek, V Yurkiv Electrochemical Society Meeting Abstracts 242, 230-230, 2022 | 2 | 2022 |
| A Combined Multi-Physics Modelling and Machine Learning to Predict Electro-Thermal Failures of Cylindrical Li-Ion Batteries BR Das Goswami, M Mastrogiorgio, M Ragone, F Mashayek, V Yurkiv Electrochemical Society Meeting Abstracts 241, 190-190, 2022 | 2 | 2022 |
| Revealing the Structure and Properties of Polycrystalline Components of the Solid Electrolyte Interface V Yurkiv, V Jabbari, M Mastrogiorgio, BR Das Goswami, M Ragone, ... Electrochemical Society Meeting Abstracts 241, 251-251, 2022 | 2 | 2022 |
| Advanced Data-Driven Modeling Framework for Predicting Thermal Failures in Li-Ion Pouch Batteries M Mastrogiorgio, BR Das Goswami, M Ragone, F Mashayek, V Yurkiv Electrochemical Society Meeting Abstracts 241, 434-434, 2022 | 2 | 2022 |
| Predicting Thermal Runaway in Li-Ion Battery Employing Machine Learning Framework M Ragone, V Yurkiv, A Ramasubramanian, R Shahbazian-Yassar, ... Electrochemical Society Meeting Abstracts 237, 429-429, 2020 | 1 | 2020 |
| Data-driven prediction of vortical structures in turbulent flows employing deep learning techniques B Kashir, M Ragone, V Yurkiv, F Mashayek APS Division of Fluid Dynamics Meeting Abstracts, L17. 003, 2019 | 1 | 2019 |
| Artificial Intelligence for Multiscale Study of Rechargeable Batteries M Ragone University of Illinois at Chicago, 2022 | | 2022 |
| Data Driven Estimation of Electric Vehicle Battery State of Charge Informed By Multi-Physics Modeling M Ragone, V Yurkiv, A Ramasubramanian, B Kashir, F Mashayek Electrochemical Society Meeting Abstracts prime2020, 1598-1598, 2020 | | 2020 |
| Data Driven Approach for Predicting Thermal Runaway in Li Ion Battery M Ragone, V Yurkiv, A Ramasubramanian, H Anahideh, B Kashir, ... Electrochemical Society Meeting Abstracts prime2020, 818-818, 2020 | | 2020 |
| Understanding Zn Electrodeposits Morphology in Secondary Batteries Using Multiscale Computational Approach V Yurkiv, T Foroozan, A Ramasubramanian, M Ragone, ... Electrochemical Society Meeting Abstracts 237, 366-366, 2020 | | 2020 |
