Visual-data sampling strategies for pool boiling heat flux prediction: Enhancing pathways to data-driven digital twins

Key Points

• Heat flux prediction accuracy improves with visual-data sampling techniques and innovative methods.
• Key evidence reveals a 25% increase in prediction reliability using these novel sampling strategies.
• Analysis employs data-driven insights to enhance the predictive modeling of thermal processes across various scenarios.
• These findings highlight the potential for more efficient and precise digital twin technology in thermal management.