2024
DOI: 10.1016/j.jpowsour.2024.234071
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Application and development of the Lattice Boltzmann modeling in pore-scale electrodes of solid oxide fuel cells

Xiaoxing Yang,
Guogang Yang,
Shian Li
et al.
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Cited by 6 publications
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“…However, over the last three decades, scholars have progressively developed mesoscopic computational methods founded on statistical mechanics, notably the lattice Boltzmann method (LBM). Owing to innate advantages for parallelization and resolving complex boundaries, LBM has attained widespread adoption for simulating phenomena such as multiphase flow [6], deformable fluid-filled bodies [7], fluid-structure interaction [8], Phase Change Material Energy Storage [9], fuel cells [10], acoustics [11], combustion applications [12], boiling, and evaporation [13].…”
Section: Introductionmentioning
confidence: 99%
“…However, over the last three decades, scholars have progressively developed mesoscopic computational methods founded on statistical mechanics, notably the lattice Boltzmann method (LBM). Owing to innate advantages for parallelization and resolving complex boundaries, LBM has attained widespread adoption for simulating phenomena such as multiphase flow [6], deformable fluid-filled bodies [7], fluid-structure interaction [8], Phase Change Material Energy Storage [9], fuel cells [10], acoustics [11], combustion applications [12], boiling, and evaporation [13].…”
Section: Introductionmentioning
confidence: 99%