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Basab Ranjan Das Goswami

University of Illinois at Chicago - Department of Mechanical and Industrial Engineering

SCHOLARLY PAPERS

1

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249

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2

Scholarly Papers (1)

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1.

A Combined Multiphysics Modeling and Deep Learning Framework to Predict Thermal Runaway in Cylindrical Li-Ion Batteries

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A Combined Multiphysics Modeling and Deep Learning Framework to Predict Thermal Runaway in Cylindrical Li-Ion Batteries

Number of pages: 44 Posted: 24 Aug 2022
Basab Ranjan Das Goswami, Massimiliano Mastrogiorgio, Marco Ragone, Vahid Jabbari, Reza Shahbazian-Yassar, Farzad Mashayek and Vitaliy Yurkiv
University of Illinois at Chicago - Department of Mechanical and Industrial Engineering, University of Illinois at Chicago - Department of Mechanical and Industrial Engineering, University of Illinois at Chicago - Department of Mechanical and Industrial Engineering, University of Illinois at Chicago - Department of Mechanical and Industrial Engineering, University of Illinois at Chicago - Department of Mechanical and Industrial Engineering, University of Illinois at Chicago - Department of Mechanical and Industrial Engineering and University of Illinois at Chicago - Department of Mechanical and Industrial Engineering
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Citation 2

Abstract:

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thermal runaway, multiphysics model, machine learning, deep learning, computer vision, real-time object detection.

A Combined Multiphysics Modeling and Deep Learning Framework to Predict Thermal Runaway in Cylindrical Li-Ion Batteries

Number of pages: 41 Posted: 23 Nov 2023
Vitaliy R. Yurkiv, Basab Ranjan Das Goswami, Massimiliano Mastrogiorgio, Marco Ragone, Vahid Jabbari, Reza Shahbazian-Yassar and Farzad Mashayek
University of Arizona, University of Illinois at Chicago - Department of Mechanical and Industrial Engineering, University of Illinois at Chicago - Department of Mechanical and Industrial Engineering, University of Illinois at Chicago - Department of Mechanical and Industrial Engineering, University of Illinois at Chicago - Department of Mechanical and Industrial Engineering, University of Illinois at Chicago - Department of Mechanical and Industrial Engineering and University of Arizona
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Abstract:

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thermal runaway, multiphysics model, machine learning, deep learning, computer vision, real-time object detection