2026-04-14T04:31:24Zhttps://recercat.cat/oai/request

oai:recercat.cat:2117/4456202025-11-08T08:25:15Zcom_2072_1033col_2072_452951

2025-11-08T08:25:15Z urn:hdl:2117/445620 Iterative solvers for metamaterials modelling via machine learning Font Guixé, Albert Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial Neural networks (Computer science) Finite element method Neural Networks Finite Element Methods Proconditioners Iterative Solvers Xarxes neuronals (Informàtica) Elements finits, Mètode dels The project aims to develop a neural network that predicts the stiffness matrix of a mesh based on the radius of the inclusion in it. This would aim to enhance iterative solvers using preconditioners, reducing the necessity of large libraries of data. To achieve this, data will be obtained by simulating elastic problems with appropriate constraints, testing the data using a solver with a preconditioner. The final step is to create a neural network capable of providing the necessary data with minimal inputs. 2025-11-08T08:25:15Z 2025-11-08T08:25:15Z 2025-07-10 Bachelor thesis http://hdl.handle.net/2117/445620 http://creativecommons.org/licenses/by-sa/4.0/ Open Access Attribution-ShareAlike 4.0 International Universitat Politècnica de Catalunya