OpenAlex | Model identification and strategy application for Solid Oxide Fuel Cell using Rotor Hopfield Neural Network based on a novel optimization method

Model identification and strategy application for Solid Oxide Fuel Cell using Rotor Hopfield Neural Network based on a novel optimization method

Work

Year: 2020

Type: article

Source: International Journal of Hydrogen Energy

Authors Shusong Ba, Dong Xia, Edward M. Gibbons

Institutions University of Science and Technology of China, University of Nova Gorica

Cites: 51

Cited by: 32

Related to: 10

FWCI: 1.681

Citation percentile (by year/subfield): 73.43

Topic: Advancements in Solid Oxide Fuel Cells

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

Sustainable Development Goal Affordable and clean energy

Open Access status: closed