Optimal Power

Optimal power research focuses on maximizing energy efficiency and output across diverse applications, from renewable energy harvesting to machine learning. Current efforts leverage advanced machine learning models, including neural networks (both traditional and transformer-based architectures), graph neural networks, and optimization algorithms (e.g., genetic algorithms) to achieve this goal, often incorporating sophisticated techniques like adversarial reweighting and power maximization. These advancements are crucial for improving the performance of various systems, ranging from solar energy conversion and semiconductor design to wireless communication networks and quantum computing, ultimately leading to more efficient and sustainable technologies.