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Leveraging unlabeled SEM datasets with self-supervised learning for enhanced particle segmentation.

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Title: Leveraging unlabeled SEM datasets with self-supervised learning for enhanced particle segmentation.
Authors: Rettenberger, Luca1, luca.rettenberger@kit.edu, Szymanski, Nathan J.2, Giunto, Andrea3, Dartsi, Olympia4, Jain, Anubhav4, Ceder, Gerbrand2,3, Hagenmeyer, Veit1, Reischl, Markus1, markus.reischl@kit.edu
Source: NPJ Computational Materials; 9/22/2025, Vol. 11 Issue 1, p1-12, 12p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 188150418
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Leveraging unlabeled SEM datasets with self-supervised learning for enhanced particle segmentation.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=188150418
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      – Type: doi
        Value: 10.1038/s41524-025-01802-3
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      – Code: eng
        Text: English
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      – TitleFull: Leveraging unlabeled SEM datasets with self-supervised learning for enhanced particle segmentation.
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            NameFull: Rettenberger, Luca
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            NameFull: Szymanski, Nathan J.
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            NameFull: Giunto, Andrea
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            – D: 22
              M: 09
              Text: 9/22/2025
              Type: published
              Y: 2025
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