Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.

By combining physics-based methods with machine learning, a team at the Institute of Thermodynamics and Sustainable Propulsion Systems at TU Graz is ...

Rising global energy demands are pushing the limits of solar technology. Scientists in Sweden have now taken a major step ...

A new physics-based algorithm clears a path toward nuclear microreactors that can autonomously adjust power output based on ...

As the global energy landscape rapidly transforms, the integration of distributed energy resources (DERs)—such as photovoltaic (PV) systems, energy storage ...