Achieving High Power and Energy Efficiency for Microfluidic Fuel Cells with Flow-through Porous Electrodes at the Desired Cell Voltage and Fuel Flow Rate with Deep Learning-based Multi-target and Criteria Optimization

Key Points

• Microfluidic fuel cells achieved high energy efficiency with optimized flow-through porous electrodes and specific fuel conditions.
• Key metrics indicate significant improvements in energy usage and performance based on deep learning models applied to multiple targets.
• Deep learning-based optimization was used to enhance performance metrics, targeting both energy efficiency and operational parameters.
• The findings highlight the potential of advanced algorithms to improve energy management in microfluidic systems, encouraging further development.