- -

Manifold learning for coherent design interpolation based on geometrical and topological descriptors

RiuNet: Institutional repository of the Polithecnic University of Valencia

Share/Send to

Cited by

Statistics

  • Estadisticas de Uso

Manifold learning for coherent design interpolation based on geometrical and topological descriptors

Show full item record

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

Files in this item

Item Metadata

Title: Manifold learning for coherent design interpolation based on geometrical and topological descriptors
Author: Muñoz-Pellicer, David Allix, O. CHINESTA SORIA, FRANCISCO JOSE Ródenas, Juan José Nadal, Enrique
UPV Unit: Universitat Politècnica de València. Escuela Técnica Superior de Ingeniería del Diseño - Escola Tècnica Superior d'Enginyeria del Disseny
Issued date:
Abstract:
[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 ...[+]
Subjects: Structural optimisation , Machine learning , Dimensionality reduction , Locally linear embedding , Topological data analysis , Optimal transport
Copyrigths: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
Source:
Computer Methods in Applied Mechanics and Engineering. (issn: 0045-7825 )
DOI: 10.1016/j.cma.2022.115859
Publisher:
Elsevier
Publisher version: https://doi.org/10.1016/j.cma.2022.115859
Project ID:
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/DPI2017-89816-R/ES/MODELADO PERSONALIZADO DE LA RESPUESTA DEL TEJIDO OSEO DE PACIENTES A PARTIR DE IMAGENES 3D MEDIANTE MALLADOS CARTESIANOS DE ELEMENTOS FINITOS/
info:eu-repo/grantAgreement/MECYD//FPU16%2F07121//AYUDA PARA CONTRSTOS PREDOCTORALES FPU-MUÑOZ PELLICER (PROYECTO: DESARROLLO DE TECNICAS HIBRIDAS DE OPTIMIZACION DE COMPONENTES MECANICOS MEDIANTE MALLADOS CARTESIANOS)/
info:eu-repo/grantAgreement/GENERALITAT VALENCIANA//PROMETEO%2F2021%2F046//MODELADO NUMÉRICO AVANZADO EN INGENIERÍA MECÁNICA/
info:eu-repo/grantAgreement/GENERALITAT VALENCIANA//CIAICO%2F2021%2F226//EMPLEO DE REDES NEURONALES INFORMADAS MEDIANTE PROCESOS FISICOS PARA LA SIMULACION NUMERICA DE PROBLEMAS EN BIOMECANICA/
Thanks:
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, ...[+]
Type: Artículo

recommendations

 

This item appears in the following Collection(s)

Show full item record