A metadata survey of photothermal membranes for solar-driven membrane distillation

dc.contributor.authorAytaç, Ersin
dc.contributor.authorAhmed, Farah Ejaz
dc.contributor.authorAziz, Faissal
dc.contributor.authorKhayet Souhaimi, Mohamed
dc.contributor.authorHilal, Nidal
dc.date.accessioned2026-01-08T15:03:27Z
dc.date.available2026-01-08T15:03:27Z
dc.date.issued2025-08
dc.description© 2025 The Authors.
dc.description.abstractWith the rapid advancement of effective photothermal materials, photothermal membrane distillation (P-MD) has emerged as a new technology for water treatment using solar energy. This technology captures large amounts of solar energy and localizes heating on the membrane-feed water interface using photothermal effects. This research analyses P-MD membrane engineering articles from multiple standpoints using machine learning (ML), data mining (DM), and bibliometrics. The results show the outlines (number of authors, annual growth rate, average citations, etc.) and details (influential authors, countries, articles, social networks, metrics, sentiment, emotion, objectivity, similarity, etc.) of 102 articles published between 2017-2024. We find that 385 authors contribute to the P-MD membrane engineering field, 44 journals are identified, and the average global citation per article is 41.66. Most articles (23) were published in 2022. Based on different metrics, Dr. Li Q. is the leader in the field. 5 core clusters were identified in the country analysis. Authors have a positive sentiment about P-MD membrane engineering, and their writing language is objective and emotion-free (neutral).
dc.description.departmentDepto. de Estructura de la Materia, Física Térmica y Electrónica
dc.description.facultyFac. de Ciencias Físicas
dc.description.refereedTRUE
dc.description.sponsorshipMinisterio de Ciencia, Innovación y Universidades (España)
dc.description.sponsorshipAgencia Estatal de Investigación (España)
dc.description.sponsorshipEuropean Commission
dc.description.sponsorshipNYU Abu Dhabi
dc.description.statuspub
dc.identifier.citationAytaç, E., Ahmed, F. E., Aziz, F., Khayet, M., & Hilal, N. (2025). A metadata survey of photothermal membranes for solar-driven membrane distillation. Separation and Purification Technology, 364, 132565.
dc.identifier.doi10.1016/j.seppur.2025.132565
dc.identifier.essn1873-3794
dc.identifier.issn1383-5866
dc.identifier.officialurlhttps://doi.org/10.1016/j.seppur.2025.132565
dc.identifier.relatedurlhttps://www.sciencedirect.com/science/article/pii/S1383586625011621
dc.identifier.urihttps://hdl.handle.net/20.500.14352/129634
dc.issue.numberPart 3
dc.journal.titleSeparation and Purification Technology
dc.language.isoeng
dc.page.final132565-20
dc.page.initial132565-1
dc.publisherElsevier
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2022-138389OB-C31/ES/PROCESO SOSTENIBLE DE DESTILACION EN MEMBRANA FOTO-TERMICA PARA LA REUTILIZACION DE AGUA Y RECOLECCION DE ENERGIA AZUL POR ELECTRODIALISIS INVERSA ACERCANDOSE AL RESIDUO CERO/
dc.relation.projectIDCG007
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationalen
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject.cdu620.91
dc.subject.cdu628.165
dc.subject.cdu66.049
dc.subject.keywordPhotothermal material
dc.subject.keywordSolar energy
dc.subject.keywordBibliometric analysis
dc.subject.keywordMachine learning
dc.subject.keywordNatural language processing
dc.subject.keywordZero-shot classification
dc.subject.ucmCiencias
dc.subject.unesco2106.01 Energía Solar
dc.subject.unesco33 Ciencias Tecnológicas
dc.subject.unesco2210.19 Fenómenos de Membrana
dc.titleA metadata survey of photothermal membranes for solar-driven membrane distillation
dc.typejournal article
dc.type.hasVersionVoR
dc.volume.number364
dspace.entity.typePublication
relation.isAuthorOfPublication8e32e718-0959-4e6c-9e04-891d3d43d640
relation.isAuthorOfPublication.latestForDiscovery8e32e718-0959-4e6c-9e04-891d3d43d640

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