Multiscale Neural Networks for Approximating Green's Functions.

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Title: Multiscale Neural Networks for Approximating Green's Functions.
Authors: Hao, Wenrui1, wxh64@psu.edu, Li, Rui Peng2, li50@llnl.gov, Xi, Yuanzhe3, yxi26@emory.edu, Xu, Tianshi3, tianshi.xu@emory.edu, Yang, Yahong1, yxy5498@psu.edu
Source: SIAM Journal on Scientific Computing; 2026, Vol. 48 Issue 2, pC240-C270, 31p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 195221944
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Multiscale Neural Networks for Approximating Green's Functions.
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  Data: <searchLink fieldCode="AU" term="%22Hao%2C+Wenrui%22">Hao, Wenrui</searchLink><relatesTo>1</relatesTo>, <i>wxh64@psu.edu</i><br /><searchLink fieldCode="AU" term="%22Li%2C+Rui+Peng%22">Li, Rui Peng</searchLink><relatesTo>2</relatesTo>, <i>li50@llnl.gov</i><br /><searchLink fieldCode="AU" term="%22Xi%2C+Yuanzhe%22">Xi, Yuanzhe</searchLink><relatesTo>3</relatesTo>, <i>yxi26@emory.edu</i><br /><searchLink fieldCode="AU" term="%22Xu%2C+Tianshi%22">Xu, Tianshi</searchLink><relatesTo>3</relatesTo>, <i>tianshi.xu@emory.edu</i><br /><searchLink fieldCode="AU" term="%22Yang%2C+Yahong%22">Yang, Yahong</searchLink><relatesTo>1</relatesTo>, <i>yxy5498@psu.edu</i>
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  Data: <searchLink fieldCode="JN" term="%22SIAM+Journal+on+Scientific+Computing%22">SIAM Journal on Scientific Computing</searchLink>; 2026, Vol. 48 Issue 2, pC240-C270, 31p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=195221944
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1137/24M1709601
    Languages:
      – Code: eng
        Text: English
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      Pagination:
        PageCount: 31
        StartPage: C240
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      – TitleFull: Multiscale Neural Networks for Approximating Green's Functions.
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            NameFull: Hao, Wenrui
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            NameFull: Li, Rui Peng
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            NameFull: Xi, Yuanzhe
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            NameFull: Xu, Tianshi
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            NameFull: Yang, Yahong
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            – D: 01
              M: 03
              Text: 2026
              Type: published
              Y: 2026
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              Value: 48
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