Machine Learning for Harnessing Thermal Energy: From Materials

Physics-Informed Machine Learning for Energy and Environment

Harnessing the Power of the Sun: Integrating Renewable Energy into HVAC Systems for Energy Efficiency.

Deep machine learning unravels the structural origin of mid‐gap states in chalcogenide glass for high‐density memory integration - Xu - 2022 - InfoMat - Wiley Online Library

Machine Learning for Harnessing Thermal Energy: From Materials Discovery to System Optimization

From Generation to Supply: Electricity Generation (Part 1)

Turning heat into electricity, MIT News

Deep learning-based inverse design of microstructured materials for optical optimization and thermal radiation control

Geothermal in the Midwest - Illinois Geothermal Coalition

Top 10 Renewable Energy Trends in 2024

Advances in flexible sensors for intelligent perception system enhanced by artificial intelligence - Niu - 2023 - InfoMat - Wiley Online Library

Full article: Deep learning for topological photonics

Machine Learning for Harnessing Thermal Energy: From Materials Discovery to System Optimization

Materials, Free Full-Text

Computer Vision in Energy and Utilities Industry Applications

Knowledge-integrated machine learning for materials: lessons from gameplaying and robotics