Deep learning–based optimization of a microfluidic membraneless fuel cell for maximum power density via data-driven three-dimensional multiphysics simulation

标题
Deep learning–based optimization of a microfluidic membraneless fuel cell for maximum power density via data-driven three-dimensional multiphysics simulation
作者
关键词
Artificial neural network, Membraneless microfluidic fuel cells, Genetic algorithm, Maximum power density
出版物
BIORESOURCE TECHNOLOGY
Volume 348, Issue -, Pages 126794
出版商
Elsevier BV
发表日期
2022-02-09
DOI
10.1016/j.biortech.2022.126794

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