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A Deep Learning-Based CNN-LSTM Framework for Constitutive Parameter Inversion in Alloy Gradient-Grained Materials.

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Title: A Deep Learning-Based CNN-LSTM Framework for Constitutive Parameter Inversion in Alloy Gradient-Grained Materials.
Authors: Jiang, Hao1, Chen, Mengyi1,2, Hou, Jianxin2,3, jxhou@lam.ln.cn, Guo, Zhenfei3,4, Hu, Zixuan1,5, Man, Zongzhe1, Wei, Xiao2,4, Liu, Da3,5
Source: Metals (2075-4701); Dec2025, Vol. 15 Issue 12, p1286, 28p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 190532646
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PubType: Academic Journal
PubTypeId: academicJournal
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        Value: 10.3390/met15121286
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      – Code: eng
        Text: English
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      – TitleFull: A Deep Learning-Based CNN-LSTM Framework for Constitutive Parameter Inversion in Alloy Gradient-Grained Materials.
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              Text: Dec2025
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