Texas A&M to train machine learning tools to design materials for fusion power plants
As the search for renewable energy sources continues, fusion energy emerges as a strong candidate. Researchers from the Texas A and M Engineering Experiment Station have received funding from the U.S. Department of Energy Advanced Research Projects Agency-Energy (ARPA-E) to train machine learning tools in the discovery of new materials for fusion power plants. An integral part of a fusion