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Machine Learning‐Guided Analysis of Rebound Mechanisms in Thermoplastic Vulcanizates via Automated Co‐Simulation.

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Title: Machine Learning‐Guided Analysis of Rebound Mechanisms in Thermoplastic Vulcanizates via Automated Co‐Simulation.
Authors: Sun, Yiming1, Ma, Lifeng1, ma.lifeng‐scu@foxmail.com, He, Chengyuan2, 467611710@qq.com, Kang, Xi1, Lv, Jufeng1
Source: Journal of Applied Polymer Science; 6/5/2026, Vol. 143 Issue 21, p1-15, 15p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 193139539
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Machine Learning‐Guided Analysis of Rebound Mechanisms in Thermoplastic Vulcanizates via Automated Co‐Simulation.
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  Data: <searchLink fieldCode="AU" term="%22Sun%2C+Yiming%22">Sun, Yiming</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Ma%2C+Lifeng%22">Ma, Lifeng</searchLink><relatesTo>1</relatesTo>, <i>ma.lifeng‐scu@foxmail.com</i><br /><searchLink fieldCode="AU" term="%22He%2C+Chengyuan%22">He, Chengyuan</searchLink><relatesTo>2</relatesTo>, <i>467611710@qq.com</i><br /><searchLink fieldCode="AU" term="%22Kang%2C+Xi%22">Kang, Xi</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Lv%2C+Jufeng%22">Lv, Jufeng</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Applied+Polymer+Science%22">Journal of Applied Polymer Science</searchLink>; 6/5/2026, Vol. 143 Issue 21, p1-15, 15p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=193139539
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      – Type: doi
        Value: 10.1002/app.70686
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      – Code: eng
        Text: English
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        PageCount: 15
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      – TitleFull: Machine Learning‐Guided Analysis of Rebound Mechanisms in Thermoplastic Vulcanizates via Automated Co‐Simulation.
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            NameFull: Sun, Yiming
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            NameFull: Ma, Lifeng
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            NameFull: He, Chengyuan
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            – D: 05
              M: 06
              Text: 6/5/2026
              Type: published
              Y: 2026
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              Value: 143
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