Scientists leverage AI to optimize glass formulas for liquid radioactive waste

Scientists have used the power of AI to analyze and predict the conversion of liquid radioactive waste into solid glass waste forms, increasing the amount of waste that goes into each container of glass produced and reducing operational risks, mission duration and costs. The research team, from the Department of Energy's Pacific Northwest National Laboratory, published its work in the April 15 edition of the Journal of Non-Crystalline Solids.