.png){kind=icon}
Return
A multi-objective optimization framework for functional layer design in solid oxide electrolysis cells
.png){kind=icon}
OA
AI
DOI：10.1016/j.matdes.2025.114486.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
• SOEC functional layer design via multi-objective optimization framework is developed. • MLP surrogate trained on data from detailed 3D Multiphysics SOEC model. • Optimization shows trade-offs between performance and cost on the Pareto front. • Optimal designs cut cell voltage to 1.288 V and stack cost to $0.126/kW.
Keywords:
Solid oxide electrolysis cell
Electrode design
Multi-objective optimization
Multiphysics simulation
Hydrogen production
Journal
M
IF:
7.9
Papers:
1.9W
Citations:
9.8W
Organization
Cited Papers
ShareSaveShareSaveNumerical Investigation on the Performance of IT-SOEC with Double-Layer Composite Electrode.png)
Energies
EnergiesIF0
PREAI
ShareSaveInfluence of Electrode Design and Contacting Layers on Performance of Electrolyte Supported SOFC/SOEC Single CellsMATERIALS
OAAI
MATERIALSIF3.2
OAAIShareSaveShareSave
View more