Micro modeling of solid oxide fuel cell anode based on stochastic reconstruction

By Yoshinori Suzue, N. Shikazono, Nobuhide Kasagi. 2008

137 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Computational Mechanics, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/a8d43ee72af16039a22798079486388a8f62f600

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

1. Junfeng Zhang
2. Yangyang He
3. Qing Li
4. Qing Liu

In Computational Mechanics

1. Junfeng Zhang
2. Makoto Nagaoka
3. Hiroaki Yoshida
4. Yangyang He
5. Qing Li
6. Qing Liu

In Mechanical Engineering

1. Junfeng Zhang

Citations in the corpus

• Multiple-relaxation-time lattice Boltzmann model for the convection and anisotropic diffusion equation (2010, background): “In addition, when we consider the diffusion phenomena in complex morphology, such as ion transport in the fuel cells [31,32] and secondary batteries [33], the LBM is a promising tool in view of the success in flows through porous media.”
• Lattice Boltzmann method for microfluidics: models and applications (2011, background): “electrochemical reactions in the anode layer can also be considered (Asinari et al. 2007; Suzue et al. 2008; Chiu et al. 2009).”