Work

A coupled machine learning and genetic algorithm approach to the design of porous electrodes for redox flow batteries

Year: 2021

Type: article

Source: Applied Energy

DOI: 10.1016/j.apenergy.2021.117177

Authors: Shuaibin Wan, Xiongwei Liang, Haoran Jiang, Jing Sun, Ned Djilali, Tianshou Zhao

Institutions: Hong Kong University of Science and Technology, University of Victoria

Language: English

Topic: Aqueous and Flow Batteries

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: closed

Funder: Research Grants Council, University Grants Committee

OpenAlex ID: W3169986404

FWCI: 4.406

Cites: 116

Cited by: 84

Related to: 10