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Performance prediction and optimization of perovskite solar cells based on the Bayesian approach.

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Title: Performance prediction and optimization of perovskite solar cells based on the Bayesian approach.
Authors: Li, Wenhao1, Hu, Jinghao1,2, Chen, Zhengxin2, Jiang, Haoyu3, Wu, Jiang1, wjcfd2002@163.com, Meng, Xiangrui1, Fang, Xu1, Lin, Jia1,2, jlin@shiep.edu.cn, Ma, Xinxia1, xinxiama@163.com, Yang, Tianshuo1, Cheng, Peiyang1, Xie, Rui1
Source: Solar Energy; Sep2023, Vol. 262, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 170723497
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=170723497
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1016/j.solener.2023.111853
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      – Code: eng
        Text: English
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        PageCount: 1
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      – TitleFull: Performance prediction and optimization of perovskite solar cells based on the Bayesian approach.
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            NameFull: Li, Wenhao
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            NameFull: Hu, Jinghao
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            NameFull: Jiang, Haoyu
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          Dates:
            – D: 15
              M: 09
              Text: Sep2023
              Type: published
              Y: 2023
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              Value: 0038092X
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              Value: 262
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            – TitleFull: Solar Energy
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