Redox Flow Batteries: Machine Learning Coupled Multi‐Scale Modeling for Redox Flow Batteries (Adv. Theory Simul. 2/2020). Issue 2 (17th February 2020)

• Record Type: Journal Article
• Authors: Bao, Jie; Murugesan, Vijayakumar; Kamp, Carl Justin; Shao, Yuyan; Yan, Litao; Wang, Wei
• Is Part Of: Advanced theory and simulations. Volume 3:Issue 2(2020)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2020-02-17
• Subjects: Science -- Simulation methods -- Periodicals; Science -- Methodology -- Periodicals; Engineering -- Simulation methods -- Periodicals; Engineering -- Methodology -- Periodicals; 507.21
• DOI: 10.1002/adts.202070004
• Languages: English
• ISSNs: 2513-0390

Abstract

Abstract : The framework of a model combining a deep neural network and a partial differential equation solver for redox flow batteries is introduced by Jie Bao, Wei Wang, and co‐workers in article number 1900167 . Their model establishes a critical link between the micro‐structure of a flow‐battery component and its performance at the device scale, thereby providing rationale for further operational and material optimization.