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Towards Scientific Machine Learning for Granular Material Simulations: Challenges and Opportunities.

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Title: Towards Scientific Machine Learning for Granular Material Simulations: Challenges and Opportunities.
Authors: Fransen, Marc1, Fürst, Andreas2, Tunuguntla, Deepak3, Wilke, Daniel N.4,5, Alkin, Benedikt2,6, Barreto, Daniel7, Brandstetter, Johannes2,6, Cabrera, Miguel Angel8, Fan, Xinyan8, Guo, Mengwu9, Kieskamp, Bram10, Kumar, Krishna11, Morrissey, John12, Nuttall, Jonathan1, Ooi, Jin12, Orozco, Luisa13, Papanicolopulos, Stefanos-Aldo12, Qu, Tongming14, Schott, Dingena8, Shuku, Takayuki15
Source: Archives of Computational Methods in Engineering; Jan2026, Vol. 33 Issue 1, p789-821, 33p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 191451289
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: <searchLink fieldCode="JN" term="%22Archives+of+Computational+Methods+in+Engineering%22">Archives of Computational Methods in Engineering</searchLink>; Jan2026, Vol. 33 Issue 1, p789-821, 33p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=191451289
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        Text: English
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              Text: Jan2026
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