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Muñoz-Pellicer, D.; Allix, O.; Chinesta Soria, FJ.; Ródenas, JJ.; Nadal, E. (2023). Manifold learning for coherent design interpolation based on geometrical and topological descriptors. Computer Methods in Applied Mechanics and Engineering. 405. https://doi.org/10.1016/j.cma.2022.115859
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/203340
Título: | Manifold learning for coherent design interpolation based on geometrical and topological descriptors | |
Autor: | Muñoz-Pellicer, David Allix, O. CHINESTA SORIA, FRANCISCO JOSE | |
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[EN] In the context of intellectual property in the manufacturing industry, know-how is referred to practical knowledge on how to accomplish a specific task. This know-how is often difficult to be synthesised in a set of ...[+]
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Derechos de uso: | Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) | |
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Versión del editor: | https://doi.org/10.1016/j.cma.2022.115859 | |
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The authors gratefully acknowledge the financial support of Ministerio de Educacion, Spain (FPU16/07121),Generalitat Valenciana, Spain (Prometeo/2021/046 and CIAICO/2021/226), Ministerio de Economia, Industriay Competitividad, ...[+]
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