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.
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