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Genetic algorithm-based optimization of columella shape with FEM surrogate modeling: convergence analysis and application to ossicular chain reconstruction.

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Title: Genetic algorithm-based optimization of columella shape with FEM surrogate modeling: convergence analysis and application to ossicular chain reconstruction.
Authors: Asakura T; Department of Mechanical and Aerospace Engineering, Faculty of Science and Engineering, Tokyo University of Science, Chiba, Japan. t_asakura@rs.tus.ac.jp., Ozono K; Department of Mechanical and Aerospace Engineering, Faculty of Science and Engineering, Tokyo University of Science, Chiba, Japan., Ichino T; Department of Mechanical and Aerospace Engineering, Faculty of Science and Engineering, Tokyo University of Science, Chiba, Japan., Hirabayashi M; Department of Otorhinolaryngology, The Jikei University School of Medicine, Tokyo, Japan.; Division of Regenerative Medicine, The Jikei University School of Medicine, Tokyo, Japan., Kurihara S; Department of Otorhinolaryngology, The Jikei University School of Medicine, Tokyo, Japan.; Division of Regenerative Medicine, The Jikei University School of Medicine, Tokyo, Japan., Kurashina Y; Division of Advanced Mechanical Systems Engineering, Institute of Engineering, Tokyo University of Agriculture and Technology, Tokyo, Japan.
Source: Biomechanics and modeling in mechanobiology [Biomech Model Mechanobiol] 2026 Mar 30; Vol. 25 (2). Date of Electronic Publication: 2026 Mar 30.
Publication Type: Journal Article
Journal Info: Publisher: Springer Country of Publication: Germany NLM ID: 101135325 Publication Model: Electronic Cited Medium: Internet ISSN: 1617-7940 (Electronic) Linking ISSN: 16177940 NLM ISO Abbreviation: Biomech Model Mechanobiol Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Genetic algorithm-based optimization of columella shape with FEM surrogate modeling: convergence analysis and application to ossicular chain reconstruction.
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  Data: <searchLink fieldCode="AU" term="%22Asakura+T%22">Asakura T</searchLink>; Department of Mechanical and Aerospace Engineering, Faculty of Science and Engineering, Tokyo University of Science, Chiba, Japan. t_asakura@rs.tus.ac.jp.<br /><searchLink fieldCode="AU" term="%22Ozono+K%22">Ozono K</searchLink>; Department of Mechanical and Aerospace Engineering, Faculty of Science and Engineering, Tokyo University of Science, Chiba, Japan.<br /><searchLink fieldCode="AU" term="%22Ichino+T%22">Ichino T</searchLink>; Department of Mechanical and Aerospace Engineering, Faculty of Science and Engineering, Tokyo University of Science, Chiba, Japan.<br /><searchLink fieldCode="AU" term="%22Hirabayashi+M%22">Hirabayashi M</searchLink>; Department of Otorhinolaryngology, The Jikei University School of Medicine, Tokyo, Japan.; Division of Regenerative Medicine, The Jikei University School of Medicine, Tokyo, Japan.<br /><searchLink fieldCode="AU" term="%22Kurihara+S%22">Kurihara S</searchLink>; Department of Otorhinolaryngology, The Jikei University School of Medicine, Tokyo, Japan.; Division of Regenerative Medicine, The Jikei University School of Medicine, Tokyo, Japan.<br /><searchLink fieldCode="AU" term="%22Kurashina+Y%22">Kurashina Y</searchLink>; Division of Advanced Mechanical Systems Engineering, Institute of Engineering, Tokyo University of Agriculture and Technology, Tokyo, Japan.
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  Data: <searchLink fieldCode="JN" term="%22101135325%22">Biomechanics and modeling in mechanobiology</searchLink> [Biomech Model Mechanobiol] 2026 Mar 30; Vol. 25 (2). <i>Date of Electronic Publication: </i>2026 Mar 30.
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        Value: 10.1007/s10237-026-02044-y
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        Text: English
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      – TitleFull: Genetic algorithm-based optimization of columella shape with FEM surrogate modeling: convergence analysis and application to ossicular chain reconstruction.
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              Text: 2026 Mar 30
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