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A robust radial point interpolation method empowered with neural network solvers (RPIM-NNS) for nonlinear solid mechanics.

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Title: A robust radial point interpolation method empowered with neural network solvers (RPIM-NNS) for nonlinear solid mechanics.
Authors: Bai, Jinshuai1,2,3, Liu, Gui-Rong4, Rabczuk, Timon5, Wang, Yizheng3,5, Feng, Xi-Qiao3, Gu, YuanTong1,2, yuantong.gu@qut.edu.au
Source: Computer Methods in Applied Mechanics & Engineering; Sep2024, Vol. 429, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 178734395
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: A robust radial point interpolation method empowered with neural network solvers (RPIM-NNS) for nonlinear solid mechanics.
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  Data: <searchLink fieldCode="JN" term="%22Computer+Methods+in+Applied+Mechanics+%26+Engineering%22">Computer Methods in Applied Mechanics & Engineering</searchLink>; Sep2024, Vol. 429, pN.PAG-N.PAG, 1p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=178734395
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.cma.2024.117159
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      – Code: eng
        Text: English
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      – TitleFull: A robust radial point interpolation method empowered with neural network solvers (RPIM-NNS) for nonlinear solid mechanics.
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            NameFull: Bai, Jinshuai
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            NameFull: Liu, Gui-Rong
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            NameFull: Feng, Xi-Qiao
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            – D: 01
              M: 09
              Text: Sep2024
              Type: published
              Y: 2024
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