A team of researchers led by Nav Nidhi Rajput, Ph.D., at Stony Brook University, have found a way to computationally predict stable molecular species in liquid solutions. The new method, detailed in a paper in Nature Computational Science, introduces a fully automated high-throughput computational framework to predict stable species by computing their nuclear magnetic resonance (NMR) chemical shifts.