To search for new materials, conventional methods employed by material scientists involve incrementally improving what is already known. Using a new method combining AI and high-throughput experimental techniques, researchers from the National Institute for Standards and Technology, the University of Maryland and the U.S. Department of Energy's SLAC National Accelerator Lab have developed a way to search a wider range of possibilities more efficiently speeding the discovery of desired new materials.