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Exploring efficacy of machine learning (artificial neural networks) for enhancing reliability of thermal energy storage platforms utilizing phase change materials

Gerald Sng Gui Ren, Aditya Chuttar, Debjyoti Banerjee

2022International Journal of Heat and Mass Transfer43 citationsDOI

Topics & Concepts

Thermal energy storageSubcoolingLatent heatReliability (semiconductor)Materials scienceProcess engineeringComputer scienceReliability engineeringPower (physics)ThermodynamicsHeat transferEngineeringPhysicsPhase Change Materials ResearchAdvanced Thermoelectric Materials and DevicesAdsorption and Cooling Systems
Exploring efficacy of machine learning (artificial neural networks) for enhancing reliability of thermal energy storage platforms utilizing phase change materials | Litcius