AI-driven multi-scale methodology to develop Transparent Wood as sustainable functional material

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Primary Data

Project Acronym Projekt Kurzbezeichnung
AI-TranspWood
 
Project Title (de) Projekttitel (de)
AI-driven multi-scale methodology to develop Transparent Wood as sustainable functional material
 
Project Title (en) Projekttitel (en)
AI-driven multi-scale methodology to develop Transparent Wood as sustainable functional material
 
Consortium Coordinator Koordinator des Konsortiums
 
Principal Investigator Projektleiter_in
 

Grants

Funder/Funding Agency Fördergeber
European Commission
Grant number Förderkennnummer
101138191
 

Publications

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PreviewAuthor(s)TitleTypeIssue Date
1Schwaighofer-2026-Computer Methods in Applied Mechanics and Engineering-vor.pdf.jpgSchwaighofer, Michael ; Königsberger, Markus ; Pech, Sebastian ; Lukacevic, Markus ; Füssl, Josef Deep Eshelby Network: An AI framework for multiscale continuum micromechanics homogenization schemes with complex inclusion shapesArticle Artikel Jun-2026
2Senk-2025-Journal of Building Engineering-vor.pdf.jpgSenk, Valentin ; Ghazanfari, Mohammad ; Rasoulzadeh, Shervin ; Vasylevska, Khrystyna ; Kovacs, Balint Istvan ; Mortezapoor, Soroosh ; Vonach, Emanuel ; Kovacic, Iva ; Füssl, Josef ; Kaufmann, Hannes ; Königsberger, Markus HeXA: Haptic-enhanced eXtended reality framework for material-informed Architectural designArticle Artikel 15-Aug-2025
3Senk-2025-Mechanics of Materials-vor.pdf.jpgSenk, Valentin ; Königsberger, Markus ; Pech, Sebastian ; Lukacevic, Markus ; Schwaighofer, Michael ; Zelaya-Lainez, Luis ; Füssl, Josef Numerical modeling of plant fiber-reinforced composites: Predicting macroscopic strength and nonlinear behavior through fiber, matrix, and interface failureArticle Artikel Jun-2025