As an excellent source of sustainable green energy, solid oxide fuel cells (SOFCs) become
a compelling energy conversion and storage device which has been attractive to …

In order to accelerate the commercialization of solid oxide fuel cells, optimal process
parameters for reliable and efficient electricity generation are of the highest interest. To …

Virtual solid oxide fuel cell (SOFC) electrode microstructures composed of pore, electrolyte
and catalyst phases with various particle sizes and volume fractions are reconstructed to …

Transfer learning (TL) is an effective method for minimizing modeling efforts and data
requirements for diverse energy systems. This paper presents use of TL for different …

Artificial neural network (ANN) is used to model active three/triple phase boundaries (TPBs)
in solid oxide fuel cell (SOFC) electrodes composed of phases with various particle sizes for …

This paper represents a systematic approach to develop a virtual hydrogen sensor for
predicting both the incidence and the extent of hydrogen starvation in high-temperature solid …

Prediction of Optimum Operating Parameters to Enhance the Performance of PEMFC Using
Machine Learning Algorithms Page 1 Prediction of Optimum Operating Parameters to Enhance …

The development of mathematical models and numerical simulations is crucial to design
improvement, optimization, and control of solid oxide fuel cells (SOFCs). The current study …

Chemical engineering processes are frequently composed of multiple complex phenomena.
These systems can be represented by a set of several equations, which are referred to as …

Abstract The samples La 0.4 Sr 0.6 Fe 1-x Mn x O 3 (x= 0.2, 0.4, and 0.6) as solid fuel cell
cathodes have been successfully synthesized and characterized. Samples were made using …