Deep Learning for Size-Agnostic Inverse Design of Random-Network 3D Printed Mechanical Metamaterials.

Pahlavani, Helda; Tsifoutis-Kazolis, Kostas; Saldivar, Mauricio C; Mody, Prerak; Zhou, Jie; Mirzaali, Mohammad J; Zadpoor, Amir A

Pahlavani, Helda; Tsifoutis-Kazolis, Kostas; Saldivar, Mauricio C; Mody, Prerak; Zhou, Jie; Mirzaali, Mohammad J; Zadpoor, Amir A.

Afiliación

Pahlavani H; Department of Biomechanical Engineering, Faculty of Mechanical, Maritime and Materials Engineering, Delft University of Technology (TU Delft), Mekelweg 2, Delft, 2628 CD, The Netherlands.
Tsifoutis-Kazolis K; Department of Biomechanical Engineering, Faculty of Mechanical, Maritime and Materials Engineering, Delft University of Technology (TU Delft), Mekelweg 2, Delft, 2628 CD, The Netherlands.
Saldivar MC; Department of Biomechanical Engineering, Faculty of Mechanical, Maritime and Materials Engineering, Delft University of Technology (TU Delft), Mekelweg 2, Delft, 2628 CD, The Netherlands.
Mody P; Division of Image Processing (LKEB), Radiology, Leiden University Medical Center (LUMC), Albinusdreef 2, Leiden, 2333 ZA, The Netherlands.
Zhou J; Department of Biomechanical Engineering, Faculty of Mechanical, Maritime and Materials Engineering, Delft University of Technology (TU Delft), Mekelweg 2, Delft, 2628 CD, The Netherlands.
Mirzaali MJ; Department of Biomechanical Engineering, Faculty of Mechanical, Maritime and Materials Engineering, Delft University of Technology (TU Delft), Mekelweg 2, Delft, 2628 CD, The Netherlands.
Zadpoor AA; Department of Biomechanical Engineering, Faculty of Mechanical, Maritime and Materials Engineering, Delft University of Technology (TU Delft), Mekelweg 2, Delft, 2628 CD, The Netherlands.

Adv Mater ; 36(6): e2303481, 2024 Feb.

Article en En | MEDLINE | ID: mdl-37899747

Palabras clave

additive manufacturing; deep learning; numerical simulations; random-network mechanical metamaterials; size-agnostic; variational autoencoder

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Adv Mater Asunto de la revista: BIOFISICA / QUIMICA Año: 2024 Tipo del documento: Article País de afiliación: Países Bajos Pais de publicación: Alemania

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