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Structural Optimization of 3D Braided Tungsten–Copper Composites via Active Learning and Finite Element Simulation.

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Title: Structural Optimization of 3D Braided Tungsten–Copper Composites via Active Learning and Finite Element Simulation.
Authors: Zhang, Lai1, Chen, Tianwen1, Wu, Yongjing1, Liu, Fuzhu1, liufuzhu@mail.xjtu.edu.cn, Wang, Yaping1, Yang, Zhimao1, Yang, Shengchun1, ysch1209@mail.xjtu.edu.cn
Source: Materials Genome Engineering Advances (MGE Advances); Jun2026, Vol. 4 Issue 2, p1-11, 11p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 194921234
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Structural Optimization of 3D Braided Tungsten–Copper Composites via Active Learning and Finite Element Simulation.
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1002/mgea.70070
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      – Code: eng
        Text: English
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        PageCount: 11
        StartPage: 1
    Titles:
      – TitleFull: Structural Optimization of 3D Braided Tungsten–Copper Composites via Active Learning and Finite Element Simulation.
        Type: main
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      – PersonEntity:
          Name:
            NameFull: Zhang, Lai
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            NameFull: Chen, Tianwen
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            NameFull: Wu, Yongjing
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            NameFull: Liu, Fuzhu
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            NameFull: Wang, Yaping
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            NameFull: Yang, Zhimao
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            NameFull: Yang, Shengchun
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          Dates:
            – D: 01
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
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            – TitleFull: Materials Genome Engineering Advances (MGE Advances)
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