Deep convolutional neural networks for eigenvalue problems in mechanics

DOI10.1002/NME.6012zbMATH Open1548.7415MaRDI QIDQ6555379

V. Mahadevan, Yan Lu, Ankit Srivastava, David Finol

Publication date: 14 June 2024

Published in: International Journal for Numerical Methods in Engineering (Search for Journal in Brave)

zbMATH Keywords

phononic crystalconvolutional neural networksdeep learning in mechanics

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Learning and adaptive systems in artificial intelligence (68T05) Crystalline structure (74E15) Neural nets and related approaches to inference from stochastic processes (62M45)

Cites Work

• Title not available (Why is that?)
• Title not available (Why is that?)
• Title not available (Why is that?)
• Title not available (Why is that?)
• Artificial neural networks in numerical modelling of composites
• A manifold learning approach to data-driven computational elasticity and inelasticity
• A framework for data-driven analysis of materials under uncertainty: countering the curse of dimensionality
• Computational mechanics enhanced by deep learning
• Data-driven computational mechanics
• Variational methods for phononic calculations
• Dynamic mode decomposition with control
• Computational homogenization of nonlinear elastic materials using neural networks
• Neural network constitutive modelling for non-linear characterization of anisotropic materials
• Learning Deep Architectures for AI
• Modeling of materials with fading memory using neural networks
• Random matrix eigenvalue problems in structural dynamics
• A new neural network-based model for hysteretic behavior of materials
• Evanescent wave boundary layers in metamaterials and sidestepping them through a variational approach
• Systematic design of phononic band–gap materials and structures by topology optimization
• An Introduction to the Application of the Theory of Probabilistic Functions of a Markov Process to Automatic Speech Recognition
• Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review

Related Items (2)

Maximum buckling load design and post-buckling compressive failure of curved grid sub-stiffened composite panels ⋮ Real-time topology optimization via learnable mappings

This page was built for publication: Deep convolutional neural networks for eigenvalue problems in mechanics

Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6555379)