168504 20260209162330.0 doi 10.1016/j.ijmecsci.2026.111251 sideral 147931 ART-2026-147931 eng Lecina-Tejero, Óscar Regression-guided computational design of auxetic scaffolds for soft tissue applications 2026 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. Access copy available to the general public Unrestricted info:eu-repo/grantAgreement/ES/AEI/RYC2023-042524-I info:eu-repo/grantAgreement/ES/DGA/E46-23R info:eu-repo/grantAgreement/ES/MINECO/PID2023-146072OB-I00 info:eu-repo/grantAgreement/ES/MINECO/PID2024-155426OB-I00 info:eu-repo/semantics/openAccess by https://creativecommons.org/licenses/by/4.0/deed.es info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Asín, Jesús Universidad de Zaragoza (orcid)0000-0002-0174-789X Cuartero, Jesús Universidad de Zaragoza (orcid)0000-0002-6100-7412 Pérez, María Ángeles Universidad de Zaragoza (orcid)0000-0002-2901-4188 Borau, Carlos Universidad de Zaragoza (orcid)0000-0002-3784-1140 2007 265 Universidad de Zaragoza Dpto. Métodos Estadísticos Área Estadís. Investig. Opera. 5004 530 Universidad de Zaragoza Dpto. Ingeniería Mecánica Área Ingen.e Infraestr.Transp. 5004 605 Universidad de Zaragoza Dpto. Ingeniería Mecánica Área Mec.Med.Cont. y Teor.Est. 312 (2026), 111251 [12 pp.] Int. j. mech. sci. INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES 0020-7403 3336110 http://zaguan.unizar.es/record/168504/files/texto_completo.pdf Versión publicada 2690600 http://zaguan.unizar.es/record/168504/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:168504 articulos driver 2026-02-09-14:42:20 ARTICLE