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<dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:invenio="http://invenio-software.org/elements/1.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>doi:10.1016/j.ijmecsci.2026.111251</dc:identifier><dc:language>eng</dc:language><dc:creator>Lecina-Tejero, Óscar</dc:creator><dc:creator>Asín, Jesús</dc:creator><dc:creator>Cuartero, Jesús</dc:creator><dc:creator>Pérez, María Ángeles</dc:creator><dc:creator>Borau, Carlos</dc:creator><dc:title>Regression-guided computational design of auxetic scaffolds for soft tissue applications</dc:title><dc:identifier>ART-2026-147931</dc:identifier><dc:description>The mechanical performance of tissue-engineered scaffolds plays a critical role in their effectiveness for regenerative medicine. While auxetic metamaterials offer tunable mechanical behavior ideal for soft tissues, their design typically relies on inefficient, iterative trial-and-error processes. To address this limitation, this study presents an integrated computational framework for the inverse design of auxetic scaffolds. By combining Finite Element Method (FEM) simulations with regression-based models, we developed accurate predictive models capable of mapping microstructural parameters directly to macroscopic mechanical responses. This data-driven approach allowed for the rigorous optimization of four distinct auxetic architectures to replicate the complex, non-linear anisotropic properties of human skin, achieving strong agreement with literature targets. A primary contribution of this work is the development of a user-friendly software tool that integrates this pipeline. The tool allows users to input target mechanical properties and automatically generates optimized, fabrication-ready designs (including custom MEW G-code), effectively bridging the gap between theoretical metamaterial optimization and practical clinical application. This methodology supports robust, patient-specific scaffold development, significantly advancing the capabilities of soft tissue engineering.</dc:description><dc:date>2026</dc:date><dc:source>http://zaguan.unizar.es/record/168504</dc:source><dc:doi>10.1016/j.ijmecsci.2026.111251</dc:doi><dc:identifier>http://zaguan.unizar.es/record/168504</dc:identifier><dc:identifier>oai:zaguan.unizar.es:168504</dc:identifier><dc:relation>info:eu-repo/grantAgreement/ES/AEI/RYC2023-042524-I</dc:relation><dc:relation>info:eu-repo/grantAgreement/ES/DGA/E46-23R</dc:relation><dc:relation>info:eu-repo/grantAgreement/ES/MINECO/PID2023-146072OB-I00</dc:relation><dc:relation>info:eu-repo/grantAgreement/ES/MINECO/PID2024-155426OB-I00</dc:relation><dc:identifier.citation>INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES 312 (2026), 111251 [12 pp.]</dc:identifier.citation><dc:rights>by</dc:rights><dc:rights>https://creativecommons.org/licenses/by/4.0/deed.es</dc:rights><dc:rights>info:eu-repo/semantics/openAccess</dc:rights></dc:dc>

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