Author

Marı́a Ángeles Pérez

Universidad de ZaragozaORCID 0000-0002-2901-4188Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioengineering· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Approach:statistical model· 2 Research Focus:software / tool· 1

Frequent Co-Authors

Carlos BorauiD· 2 shared JESÚS CUARTEROiD· 2 shared Óscar Lecina-TejeroiD· 2 shared Elena García‐GaretaiD· 1 shared Jesús AsíniD· 1 shared Jirawat IamsamangiD· 1 shared Miguel Dias CastilhoiD· 1 shared Pilar Alamán‐DíeziD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 24 mutual co-author links

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2 shared papersBioengineering

Carlos BorauORCID

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2 papers

Recent·Most cited

BioengineeringInternational Journal of Mechanical SciencesPeer-reviewedJan 16, 2026

Regression-guided computational design of auxetic scaffolds for soft tissue applications

Óscar Lecina-Tejero, Jesús Asín, JESÚS CUARTERO…·Carlos Borau

This paper develops a computational framework combining FEM simulations and regression modeling to design auxetic scaffolds, validated with experimental data and accompanied by a software tool for scaffold optimization.

9 citationstop 1%

deep learningstatistical model

𝕏 PostBluesky

BioengineeringResults in EngineeringPeer-reviewedAug 29, 2025

Rational Design and Modeling of Auxetic Fiber Scaffolds for Soft Tissue Engineering via Melt Electrowriting

Óscar Lecina-Tejero, Jirawat Iamsamang, Pilar Alamán‐Díez…·Carlos Borau

This study presents a computational framework for designing auxetic fiber scaffolds using Melt Electro-writing, validated through FEM modeling and experimental testing to achieve tailored mechanical properties for soft tissue engineering.

2 citations

deep learningstatistical model

𝕏 PostBluesky