Neural networks for topology optimization
From MaRDI portal
Publication:2274318
DOI10.1515/rnam-2019-0018zbMath1420.68178arXiv1709.09578OpenAlexW2963556194MaRDI QIDQ2274318
Ivan Sosnovik, Ivan V. Oseledets
Publication date: 19 September 2019
Published in: Russian Journal of Numerical Analysis and Mathematical Modelling (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1709.09578
Learning and adaptive systems in artificial intelligence (68T05) Computing methodologies for image processing (68U10)
Related Items
Isogeometric topology optimization based on deep learning, Deep learning driven real time topology optimization based on improved convolutional block attention (Cba-U-Net) model, A deep convolutional neural network for topology optimization with perceptible generalization ability, Geometric optimization of vascular stents modeled as networks of 1D rods, Topology optimization via implicit neural representations, \texttt{DL4TO}: a deep learning library for sample-efficient topology optimization, Convolution hierarchical deep-learning neural network tensor decomposition (C-HiDeNN-TD) for high-resolution topology optimization, A complete physics-informed neural network-based framework for structural topology optimization, Modular machine learning-based elastoplasticity: generalization in the context of limited data, Deep energy method in topology optimization applications, Data-driven topology optimization of spinodoid metamaterials with seamlessly tunable anisotropy, TONR: an exploration for a novel way combining neural network with topology optimization, Machine learning-combined topology optimization for functionary graded composite structure design, Hierarchical deep learning neural network (HiDeNN): an artificial intelligence (AI) framework for computational science and engineering, Universal machine learning for topology optimization, FEA-Net: a physics-guided data-driven model for efficient mechanical response prediction
Uses Software
Cites Work
