Works matching IS 01787675 AND DT 2023 AND VI 72 AND IP 1

Results: 12

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:

Villarreal, Ruben;
Vlassis, Nikolaos N.;
Phan, Nhon N.;
Catanach, Tommie A.;
Jones, Reese E.;
Trask, Nathaniel A.;
Kramer, Sharlotte L. B.;
Sun, WaiChing

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:

Huang, Owen;
Saha, Sourav;
Guo, Jiachen;
Liu, Wing Kam

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:

Yvonnet, Julien;
He, Qi-Chang;
Li, Pengfei

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:

Wang, Zihan;
Xian, Weikang;
Li, Ying;
Xu, Hongyi

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:

Aldakheel, Fadi;
Elsayed, Elsayed S.;
Zohdi, Tarek I.;
Wriggers, Peter

Publication type:

Article

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:

Liu, Wing Kam;
Bessa, Miguel A.;
Chinesta, Francisco;
Li, Shaofan;
Trask, Nathaniel

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:

Jones, Reese;
Safta, Cosmin;
Frankel, Ari

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:

Deng, Shiguang;
Apelian, Diran;
Bostanabad, Ramin

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:

Liu, Yingjian;
Park, Chanwook;
Lu, Ye;
Mojumder, Satyajit;
Liu, Wing Kam;
Qian, Dong

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:

King, Ethan;
Li, Yulan;
Hu, Shenyang;
Machorro, Eric

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:

Bishara, Dana;
Li, Shaofan

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:

Xie, Yuxi;
Li, Boyuan;
Wang, Chao;
Zhou, Kun;
Wu, C. T.;
Li, Shaofan

Publication type:

Article