Graphene-enhanced Cr-Ti-TiN broadband absorber for solar thermal systems: a computational and machine learning approach

Key Points

• Improvement in absorption efficiency significantly enhances solar thermal systems.
• Using computational methods, the study shows a 25% increase in absorption performance.
• Utilizing machine learning techniques, the analysis identifies optimal material configurations for absorbers.
• The findings suggest that graphene usage could revolutionize energy-efficient thermal applications.