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ML-based identification of the interface regions for coupling local and nonlocal models
April 25, 2024, 7:42 p.m. | Noujoud Nader, Patrick Diehl, Marta D'Elia, Christian Glusa, Serge Prudhomme
cs.LG updates on arXiv.org arxiv.org
Abstract: Local-nonlocal coupling approaches combine the computational efficiency of local models and the accuracy of nonlocal models. However, the coupling process is challenging, requiring expertise to identify the interface between local and nonlocal regions. This study introduces a machine learning-based approach to automatically detect the regions in which the local and nonlocal models should be used in a coupling approach. This identification process uses the loading functions and provides as output the selected model at the …
abstract accuracy arxiv computational cs.ai cs.lg efficiency expertise however identification identify machine machine learning process study type
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