TY  - JOUR
AU  - Chakraborty, Marco
AU  - Mensah, Rifat
AU  - Li, Priya
AU  - Adeyemi, Li
TI  - Genetic Algorithms Applied to GaN Power Transistors
JO  - Open Access Journal of Engineering Applications
PY  - 2024
VL  - 48
IS  - 2
SP  - 179
EP  - 198
AB  - Increasing deployment of flexible pavements has exposed clear limitations in existing approaches to GaN power transistors. The framework was implemented and its predictions benchmarked using genetic algorithms. The hybrid model reduced root-mean-square error by 19% over the physics-only formulation. The results underscore the importance of long-term monitoring for reliable performance assessment.
KW  - GaN power transistors
KW  - genetic algorithms
KW  - energy storage
KW  - state of charge estimation
KW  - nanocomposites
KW  - deep learning
SN  - 3105-7004
DO  - 10.55555/oajea.2024.4802.011
UR  - https://journal.bsaps.com/article/10128
ER  -