GOAT: A Global Optimization Algorithm for Molecules and Atomic Clusters

In this work, we propose a new Global Optimization Algorithm (GOAT) for molecules and clusters of atoms and show how it can find the global energy minima for both systems without resorting to molecular dynamics (MD). This avoids the potential millions of time-consuming gradient calculations required by a long MD run. Because of that, it can be used with any regular quantum chemical method, even with the costlier hybrid DFT. We showcase its accuracy by running it on various systems, from organic molecules to water clusters, metal complexes, and metal nanoparticles, comparing it with state-of-the-art methods such as the Conformer-Rotamer Ensemble Sampling Tool (CREST). We also discuss its underlying theory and…