Works matching IS 01787675 AND DT 2023 AND VI 72 AND IP 2

Results: 9

Convolution Hierarchical Deep-Learning Neural Network Tensor Decomposition (C-HiDeNN-TD) for high-resolution topology optimization.

Published in:

Computational Mechanics, 2023, v. 72, n. 2, p. 363, doi. 10.1007/s00466-023-02333-8

By:

Li, Hengyang;
Knapik, Stefan;
Li, Yangfan;
Park, Chanwook;
Guo, Jiachen;
Mojumder, Satyajit;
Lu, Ye;
Chen, Wei;
Apley, Daniel W.;
Liu, Wing Kam

Publication type:

Article

Convolution Hierarchical Deep-learning Neural Networks (C-HiDeNN): finite elements, isogeometric analysis, tensor decomposition, and beyond.

Published in:

Computational Mechanics, 2023, v. 72, n. 2, p. 333, doi. 10.1007/s00466-023-02336-5

By:

Lu, Ye;
Li, Hengyang;
Zhang, Lei;
Park, Chanwook;
Mojumder, Satyajit;
Knapik, Stefan;
Sang, Zhongsheng;
Tang, Shaoqiang;
Apley, Daniel W.;
Wagner, Gregory J.;
Liu, Wing Kam

Publication type:

Article

A non-intrusive approach for physics-constrained learning with application to fuel cell modeling.

Published in:

Computational Mechanics, 2023, v. 72, n. 2, p. 411, doi. 10.1007/s00466-023-02342-7

By:

Srivastava, Vishal;
Sulzer, Valentin;
Mohtat, Peyman;
Siegel, Jason B.;
Duraisamy, Karthik

Publication type:

Article

Error estimates and physics informed augmentation of neural networks for thermally coupled incompressible Navier Stokes equations.

Published in:

Computational Mechanics, 2023, v. 72, n. 2, p. 267, doi. 10.1007/s00466-023-02334-7

By:

Goraya, Shoaib;
Sobh, Nahil;
Masud, Arif

Publication type:

Article

Convolution hierarchical deep-learning neural network (C-HiDeNN) with graphics processing unit (GPU) acceleration.

Published in:

Computational Mechanics, 2023, v. 72, n. 2, p. 383, doi. 10.1007/s00466-023-02329-4

By:

Park, Chanwook;
Lu, Ye;
Saha, Sourav;
Xue, Tianju;
Guo, Jiachen;
Mojumder, Satyajit;
Apley, Daniel W.;
Wagner, Gregory J.;
Liu, Wing Kam

Publication type:

Article

Mallat Scattering Transformation based surrogate for Magnetohydrodynamics.

Published in:

Computational Mechanics, 2023, v. 72, n. 2, p. 291, doi. 10.1007/s00466-023-02302-1

By:

Glinsky, Michael E.;
Maupin, Kathryn

Publication type:

Article

Deep Learning Discrete Calculus (DLDC): a family of discrete numerical methods by universal approximation for STEM education to frontier research.

Published in:

Computational Mechanics, 2023, v. 72, n. 2, p. 311, doi. 10.1007/s00466-023-02292-0

By:

Saha, Sourav;
Park, Chanwook;
Knapik, Stefan;
Guo, Jiachen;
Huang, Owen;
Liu, Wing Kam

Publication type:

Article

A continuous convolutional trainable filter for modelling unstructured data.

Published in:

Computational Mechanics, 2023, v. 72, n. 2, p. 253, doi. 10.1007/s00466-023-02291-1

By:

Coscia, Dario;
Meneghetti, Laura;
Demo, Nicola;
Stabile, Giovanni;
Rozza, Gianluigi

Publication type:

Article

A structure-preserving neural differential operator with embedded Hamiltonian constraints for modeling structural dynamics.

Published in:

Computational Mechanics, 2023, v. 72, n. 2, p. 241, doi. 10.1007/s00466-023-02288-w

By:

Najera-Flores, David A.;
Todd, Michael D.

Publication type:

Article