AI-driven quantitative review of mobility–stability trade-off in oxide semiconductors.

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Title: AI-driven quantitative review of mobility–stability trade-off in oxide semiconductors.
Authors: Hong, Ji Hoon1,2, Lee, Chi-Hoon3, Kim, Hyeon Woo1,4, Jeon, Dong Won1,2, Kang, Jun Hyuk1,2, Kim, Yoon-Seo3,5, Bae, Ji-Su3, Heo, Seonggil5, Lee, Sangyeon5, Na, Jooyeong6, You, Jaegook6, Hong, Soyeon6, Cho, Hyunsouk6, hyunsouk@ajou.ac.kr, Park, Jin-Seong3, jsparklime@hanyang.ac.kr, Cho, Sung Beom1,2, csb@ajou.ac.kr
Source: Nano Convergence; 1/31/2026, Vol. 13 Issue 1, p1-31, 31p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 191289777
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: AI-driven quantitative review of mobility–stability trade-off in oxide semiconductors.
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  Data: <searchLink fieldCode="JN" term="%22Nano+Convergence%22">Nano Convergence</searchLink>; 1/31/2026, Vol. 13 Issue 1, p1-31, 31p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=191289777
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      – Type: doi
        Value: 10.1186/s40580-026-00535-3
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      – Code: eng
        Text: English
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              Text: 1/31/2026
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