Rathinam Technical Campus

Machine learning and multi-model mechanistic analysis of CuTaS3/AgTaS3 heterostructures for photocatalytic and electrocatalytic hydrogen evolution

Machine learning and mechanistic kinetic-thermodynamic analyses were applied to CuTaS 3 /AgTaS 3 heterostructures for renewable energy applications involving photocatalytic and electrocatalytic H 2 evolution, using existing experimental data without new experimentation. Gaussian...

IoT enabled deep learning and multi objective optimization of nanoPCM solar thermal energy storage for intelligent charging discharging control

Temporal differences between the availability of solar thermal energy and thermal requirements limit the effective utilization of solar thermal power, necessitating advanced thermal energy storage solutions. This study complemented the working performance of phase change material...