Thermal Management

Thermal management research focuses on efficiently controlling heat generation and dissipation in various systems, aiming to optimize performance, safety, and longevity. Current efforts leverage machine learning, particularly deep learning architectures like convolutional neural networks and transformers, along with reinforcement learning algorithms, to model complex thermal dynamics, optimize control strategies, and accelerate simulations. These advancements are significantly impacting diverse fields, from improving battery electric vehicle performance and enhancing building energy efficiency to enabling more accurate and efficient thermal control in electronics and spacecraft.