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Title:Nearest neighbor permutation entropy detects phase transitions in complex high-pressure systems
Authors:ID Pessa, Arthur A. B. (Author)
ID Voltarelli, Leonardo G. J. M. (Author)
ID Cardozo-Filho, Lúcio (Author)
ID Tamara, Andres G. M. (Author)
ID Dariva, Claudio (Author)
ID Ndiaye, Papa M. (Author)
ID Perc, Matjaž (Author)
ID Ribeiro, Haroldo V. (Author)
Files:.pdf RAZ_Pessa_Arthur_A._B._2025.pdf (3,19 MB)
MD5: 836AA1C0EEBAD14A7893875722628F0F
 
URL https://doi.org/10.1038/s41598-025-06016-7
 
Language:English
Work type:Scientific work
Typology:1.01 - Original Scientific Article
Organization:FNM - Faculty of Natural Sciences and Mathematics
Abstract: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.
Keywords:nearest neighbors, permutation entropy, phase transition, complex system, social physics
Publication status:Published
Publication version:Version of Record
Submitted for review:16.02.2025
Article acceptance date:05.06.2025
Publication date:01.07.2025
Year of publishing:2025
Number of pages:11 str.
Numbering:Letn. 15, št. članka 22410
PID:20.500.12556/DKUM-93593 New window
UDC:53
ISSN on article:2045-2322
COBISS.SI-ID:241397251 New window
DOI:10.1038/s41598-025-06016-7 New window
Publication date in DKUM:04.07.2025
Views:165
Downloads:9
Metadata:XML DC-XML DC-RDF
Categories:Misc.
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Record is a part of a journal

Title:Scientific reports
Shortened title:Sci. rep.
Publisher:Nature Publishing Group
ISSN:2045-2322
COBISS.SI-ID:18727432 New window

Document is financed by a project

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P1-0403-2019
Name:Računsko intenzivni kompleksni sistemi

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:N1-0232-2022
Name:Tekmovalna hierarhična omrežja od športa do evolucije kulture

Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:01.07.2025

Secondary language

Language:Slovenian
Keywords:najbližji sosedje, permutacijska entropija, fazni prehod, kompleksen sistem, fizika družbe


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