A low-cost, scalable aerogel evaporator via machine learning-assisted steel needle templating for solar desalination

Key Points

• The research aims to develop a cost-effective method for creating an efficient evaporator for solar desalination.
• Fabrication of a D1.4N8-GSA evaporator using a needle-templated method.
• Incorporation of vertical channels to enhance evaporation performance.
• Comparison with traditional unidirectional freezing methods to evaluate efficiency.
• Achieved high evaporation efficiency and rate compared to conventional evaporators.
• Demonstrated scalability and low-cost production of the evaporator design.