{"title":"Alpha particle fluence-dependent physico-chemical properties of polycarbonate (Makrofol) surface after electrochemical etching","authors":"Reyhaneh Sadat Motevallian , Parviz Parvin , Seyedeh Zahra Mortazavi , Ali Reyhani , Nafiseh Sadat Kalantari , Negin Nezamlou , Amir Jafargholi , Mohammadreza Aghaei , Mahdi Ebrahimi , Mehdi Sohrabi","doi":"10.1016/j.surfin.2025.107781","DOIUrl":null,"url":null,"abstract":"<div><div>The optical properties of polycarbonate (Makrofol) samples are investigated under alpha irradiation with 2 MeV energy at various fluences ranging from of 10<sup>3</sup> to 10<sup>6</sup> alpha/cm<sup>2</sup>, following the electrochemical etching (ECE). Several microanalyses are carried out to characterize the optical, chemical, and structural properties of the samples, including field emission scanning electron microscopy (FESEM), UV-visible absorption spectroscopy, Photoluminescence (PL) spectroscopy, and BET analysis. Surface features and functionalities are further assessed by X-ray photoelectron spectroscopy (XPS) and attenuated total reflectance/Fourier transform infrared (ATR-FTIR) spectroscopy. Additionally, surface wettability is examined through contact angle measurements. Image processing of micrographs obtained from FESEM is utilized to determine track density, induced micro-hole diameter, and corresponding depth. Finally, machine learning (ML) is employed to accurately predict unknown patterns induced by the combined alpha irradiation and ECE. Specifically, k-nearest neighbors (KNN) classification with Bayesian optimization is used to identify alpha fluence levels with 90.1 % accuracy.</div></div>","PeriodicalId":22081,"journal":{"name":"Surfaces and Interfaces","volume":"75 ","pages":"Article 107781"},"PeriodicalIF":6.3000,"publicationDate":"2025-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Surfaces and Interfaces","FirstCategoryId":"88","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2468023025020334","RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
引用次数: 0
Abstract
The optical properties of polycarbonate (Makrofol) samples are investigated under alpha irradiation with 2 MeV energy at various fluences ranging from of 103 to 106 alpha/cm2, following the electrochemical etching (ECE). Several microanalyses are carried out to characterize the optical, chemical, and structural properties of the samples, including field emission scanning electron microscopy (FESEM), UV-visible absorption spectroscopy, Photoluminescence (PL) spectroscopy, and BET analysis. Surface features and functionalities are further assessed by X-ray photoelectron spectroscopy (XPS) and attenuated total reflectance/Fourier transform infrared (ATR-FTIR) spectroscopy. Additionally, surface wettability is examined through contact angle measurements. Image processing of micrographs obtained from FESEM is utilized to determine track density, induced micro-hole diameter, and corresponding depth. Finally, machine learning (ML) is employed to accurately predict unknown patterns induced by the combined alpha irradiation and ECE. Specifically, k-nearest neighbors (KNN) classification with Bayesian optimization is used to identify alpha fluence levels with 90.1 % accuracy.
期刊介绍:
The aim of the journal is to provide a respectful outlet for ''sound science'' papers in all research areas on surfaces and interfaces. We define sound science papers as papers that describe new and well-executed research, but that do not necessarily provide brand new insights or are merely a description of research results.
Surfaces and Interfaces publishes research papers in all fields of surface science which may not always find the right home on first submission to our Elsevier sister journals (Applied Surface, Surface and Coatings Technology, Thin Solid Films)