M. Jyothirmayi
Papers
1
Total Citations
11
H-Index
1
About
M. Jyothirmayi is a researcher at the forefront of sustainable energy systems, specializing in the integration of phase change materials (PCMs) with solar photovoltaic technology and deep learning. Her most cited work introduces a novel approach to smart operating range monitoring, combining microencapsulated bio-based PCMs with a solar deep learning model to enhance passive solar energy collection in buildings. This research, published in 2023 and garnering 11 citations, demonstrates how PCMs with thermal properties tuned to human comfort zones can simultaneously track and optimize solar PV cell performance. Jyothirmayi’s contributions bridge materials science and artificial intelligence, offering a pathway toward more efficient, self-regulating building-integrated photovoltaics. Her work is particularly notable for its focus on bio-based, environmentally friendly PCMs, addressing both energy efficiency and sustainability. By enabling real-time performance monitoring through machine learning, she is helping to advance smart building technologies that reduce reliance on active heating and cooling systems.
Research Focus
Key Achievements
Top Papers
- 1