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This avoids the potential millions of time\u2010consuming 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\u2010of\u2010the\u2010art methods such as the Conformer\u2010Rotamer Ensemble Sampling Tool (CREST). We also discuss its underlying theory and mechanisms for succeeding in challenging cases. GOAT is, in general, more efficient and accurate than previous algorithms in finding global minima and succeeds in cases where others cannot due to the free choice for the Potential Energy Surface (PES).<\/jats:p>","DOI":"10.1002\/anie.202500393","type":"journal-article","created":{"date-parts":[[2025,2,17]],"date-time":"2025-02-17T05:39:06Z","timestamp":1739770746000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":195,"title":["GOAT: A Global Optimization Algorithm for Molecules and Atomic Clusters"],"prefix":"10.1002","volume":"64","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7531-021X","authenticated-orcid":false,"given":"Bernardo","family":"de Souza","sequence":"first","affiliation":[{"name":"FACCTs GmbH  Rolandstrasse 67 50677 K\u00f6ln Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2025,3,17]]},"reference":[{"key":"e_1_2_8_1_1","doi-asserted-by":"publisher","DOI":"10.1063\/1.4821834"},{"key":"e_1_2_8_2_1","volume":"144","author":"Guo Y.","year":"2016","journal-title":"J. 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