Researchers at Penn State have developed a new predictive method for identifying materials that could become superconductors, potentially allowing for superconductivity at higher temperatures. By integrating computer modeling and theoretical insights, this approach aims to overcome the limitations of current superconductors that operate only at extremely low temperatures, paving the way for more practical applications in energy systems and electronics.