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VIRL: Volume-Informed Representation Learning towards few-shot manufacturability estimation.

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Title: VIRL: Volume-Informed Representation Learning towards few-shot manufacturability estimation.
Authors: Chen, Yu-hsuan1, yuhsuan2@andrew.cmu.edu, Cagan, Jonathan1, cagan@cmu.edu, Kara, Levent Burak1, lkara@andrew.cmu.edu
Source: Journal of Intelligent Manufacturing; Feb2026, Vol. 37 Issue 2, p887-907, 21p
Database: Applied Science & Technology Source
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Header DbId: aci
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An: 191453188
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: VIRL: Volume-Informed Representation Learning towards few-shot manufacturability estimation.
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  Data: <searchLink fieldCode="AU" term="%22Chen%2C+Yu-hsuan%22">Chen, Yu-hsuan</searchLink><relatesTo>1</relatesTo>, <i>yuhsuan2@andrew.cmu.edu</i><br /><searchLink fieldCode="AU" term="%22Cagan%2C+Jonathan%22">Cagan, Jonathan</searchLink><relatesTo>1</relatesTo>, <i>cagan@cmu.edu</i><br /><searchLink fieldCode="AU" term="%22Kara%2C+Levent+Burak%22">Kara, Levent Burak</searchLink><relatesTo>1</relatesTo>, <i>lkara@andrew.cmu.edu</i>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Intelligent+Manufacturing%22">Journal of Intelligent Manufacturing</searchLink>; Feb2026, Vol. 37 Issue 2, p887-907, 21p
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        Value: 10.1007/s10845-025-02575-8
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      – Code: eng
        Text: English
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      – TitleFull: VIRL: Volume-Informed Representation Learning towards few-shot manufacturability estimation.
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            NameFull: Chen, Yu-hsuan
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            NameFull: Cagan, Jonathan
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              Text: Feb2026
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              Y: 2026
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