20.500.12556/DKUM-93593 Nearest neighbor permutation entropy detects phase transitions in complex high-pressure systems Understanding the high-pressure phase behavior of carbon dioxide-hydrocarbon mixtures is of considerable interest owing to their wide range of applications. Under certain conditions, these systems are not amenable to direct visual monitoring, and experimentalists often rely on spectrophotometric data to infer phase behavior. Consequently, developing computationally efficient and robust methods to leverage such data is crucial. Here, we combine nearest neighbor permutation entropy, computed directly from in situ near-infrared absorbance spectra acquired during depressurization trials of mixtures of carbon dioxide and a distilled petroleum fraction, with an anomaly detection approach to identify phase transitions. We show that changes in nearest neighbor entropy effectively signal transitions from initially homogeneous mixtures to two-phase equilibria, thereby enabling accurate out-of-sample online predictions of transition pressures. Our approach requires minimum data preprocessing, no specialized detection techniques or visual inspection of the spectra, and is sufficiently general to be adapted for studying phase behavior in other high-pressure systems monitored via spectrophotometry. nearest neighbors permutation entropy phase transition complex system social physics najbližji sosedje permutacijska entropija fazni prehod kompleksen sistem fizika družbe true false true Angleški jezik Slovenski jezik Znanstveno delo 2025-07-04 10:32:10 2025-07-04 10:32:12 2025-07-05 03:07:50 0000-00-00 00:00:00 2025 0 0 11 str. št. članka 22410 Letn. 15 2025 0000-00-00 Zaloznikova Objavljeno NiDoloceno 2025-02-16 2025-06-05 2025-07-01 53 241397251 10.1038/s41598-025-06016-7 2045-2322 RAZ_Pessa_Arthur_A._B._2025.pdf RAZ_Pessa_Arthur_A._B._2025.pdf 1 836AA1C0EEBAD14A7893875722628F0F 2ce3c67cb58c9d08b9d44b91b65dbf3cde755f4eb3fc4f18db22da2fec736fe9 998e542e-58b1-11f0-8567-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=193246 https://doi.org/10.1038/s41598-025-06016-7 0 a9d451cf-58b1-11f0-8567-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=193247 Fakulteta za naravoslovje in matematiko 0 0 0