Works matching IS 01787675 AND DT 2023 AND VI 72 AND IP 1
Results: 12
Special issue of computational mechanics on machine learning theories, modeling, and applications to computational materials science, additive manufacturing, mechanics of materials, design and optimization.
- Published in:
- Computational Mechanics, 2023, v. 72, n. 1, p. 1, doi. 10.1007/s00466-023-02337-4
- By:
- Publication type:
- Article
Design of experiments for the calibration of history-dependent models via deep reinforcement learning and an enhanced Kalman filter.
- Published in:
- Computational Mechanics, 2023, v. 72, n. 1, p. 95, doi. 10.1007/s00466-023-02335-6
- By:
- Publication type:
- Article
An introduction to kernel and operator learning methods for homogenization by self-consistent clustering analysis.
- Published in:
- Computational Mechanics, 2023, v. 72, n. 1, p. 195, doi. 10.1007/s00466-023-02331-w
- By:
- Publication type:
- Article
Embedding physical knowledge in deep neural networks for predicting the phonon dispersion curves of cellular metamaterials.
- Published in:
- Computational Mechanics, 2023, v. 72, n. 1, p. 221, doi. 10.1007/s00466-023-02328-5
- By:
- Publication type:
- Article
Reducing internal variables and improving efficiency in data-driven modelling of anisotropic damage from RVE simulations.
- Published in:
- Computational Mechanics, 2023, v. 72, n. 1, p. 37, doi. 10.1007/s00466-023-02326-7
- By:
- Publication type:
- Article
Efficient multiscale modeling of heterogeneous materials using deep neural networks.
- Published in:
- Computational Mechanics, 2023, v. 72, n. 1, p. 155, doi. 10.1007/s00466-023-02324-9
- By:
- Publication type:
- Article
Deep learning and multi-level featurization of graph representations of microstructural data.
- Published in:
- Computational Mechanics, 2023, v. 72, n. 1, p. 57, doi. 10.1007/s00466-023-02300-3
- By:
- Publication type:
- Article
Adaptive spatiotemporal dimension reduction in concurrent multiscale damage analysis.
- Published in:
- Computational Mechanics, 2023, v. 72, n. 1, p. 3, doi. 10.1007/s00466-023-02299-7
- By:
- Publication type:
- Article
Physics-informed machine-learning model of temperature evolution under solid phase processes.
- Published in:
- Computational Mechanics, 2023, v. 72, n. 1, p. 125, doi. 10.1007/s00466-023-02289-9
- By:
- Publication type:
- Article
A machine-learning aided multiscale homogenization model for crystal plasticity: application for face-centered cubic single crystals.
- Published in:
- Computational Mechanics, 2023, v. 72, n. 1, p. 77, doi. 10.1007/s00466-023-02276-0
- By:
- Publication type:
- Article
A Bayesian regularization network approach to thermal distortion control in 3D printing.
- Published in:
- Computational Mechanics, 2023, v. 72, n. 1, p. 137, doi. 10.1007/s00466-023-02270-6
- By:
- Publication type:
- Article
HiDeNN-FEM: a seamless machine learning approach to nonlinear finite element analysis.
- Published in:
- Computational Mechanics, 2023, v. 72, n. 1, p. 173, doi. 10.1007/s00466-023-02293-z
- By:
- Publication type:
- Article