A deep learning–based method for optimizing a membraneless microfluidic fuel cell (MMFC)
performance by combining the artificial neural network (ANN) and genetic algorithm (GA) …

Membraneless microfluidic fuel cells (MMFCs) offer great potential for clean energy
production, but their expense and tedious optimization process have limited their wider use …

The maximum achievable power of a polymer electrolyte membrane (PEM) fuel cell under
specific operating temperature is important to its application. In this paper, we propose a …

This paper reports a theoretical investigation on the orientation-dependence of the
performance of membraneless microfluidic fuel cell (MMFC) and the relevant gravity effects …

Microfluidic fuel cell (MFC) is a burgeoning category of micro fuel cell technology based on
laminar flow electrolytes. The merits of MFC, such as the absence of membrane electrolyte …

A numerical analysis of a membraneless microfluidic fuel cell with a Y-shaped microchannel
is performed to determine the effects of geometric modifications on the performance. The …

Microfluidic membraneless fuel cell (MFC) is a promising fuel cell type due to its simple
structure without the need of proton conducting membrane. However, the common …

Computational evaluation of three design modifications of a membraneless microfluidic fuel
cell (MMFC), ie, inlets located midway along the microchannel, multiple compartments in the …

Membraneless microfluidic fuel cells are miniaturized and integratable power sources as
compared with conventional fuel cells based on membrane electrode assembly. To …

In this research, a novel hybrid model is developed based on neural network with high
capability to predict the behavior of a micro proton exchange membrane fuel cell (micro …