Works matching IS 01787675 AND DT 2019 AND VI 64 AND IP 2

Results: 18

Correction to: A computational mechanics special issue on: data-driven modeling and simulation—theory, methods, and applications.

Published in:

2019

By:

Liu, Wing Kam;
Karniadakis, George;
Tang, Shaoqiang;
Yvonnet, Julien

Publication type:

Correction Notice

A computational mechanics special issue on: data-driven modeling and simulation—theory, methods, and applications.

Published in:

2019

By:

Liu, Wing Kam;
Karniadakis, George;
Tang, Shaoqiang;
Yvonnet, Julien

Publication type:

Editorial

Prediction of aerodynamic flow fields using convolutional neural networks.

Published in:

Computational Mechanics, 2019, v. 64, n. 2, p. 525, doi. 10.1007/s00466-019-01740-0

By:

Bhatnagar, Saakaar;
Afshar, Yaser;
Pan, Shaowu;
Duraisamy, Karthik;
Kaushik, Shailendra

Publication type:

Article

Principle of cluster minimum complementary energy of FEM-cluster-based reduced order method: fast updating the interaction matrix and predicting effective nonlinear properties of heterogeneous material.

Published in:

Computational Mechanics, 2019, v. 64, n. 2, p. 323, doi. 10.1007/s00466-019-01710-6

By:

Nie, Yinghao;
Cheng, Gengdong;
Li, Xikui;
Xu, Liang;
Li, Kai

Publication type:

Article

Solving Bayesian inverse problems from the perspective of deep generative networks.

Published in:

Computational Mechanics, 2019, v. 64, n. 2, p. 395, doi. 10.1007/s00466-019-01739-7

By:

Hou, Thomas Y.;
Lam, Ka Chun;
Zhang, Pengchuan;
Zhang, Shumao

Publication type:

Article

Model-free data-driven methods in mechanics: material data identification and solvers.

Published in:

Computational Mechanics, 2019, v. 64, n. 2, p. 381, doi. 10.1007/s00466-019-01731-1

By:

Stainier, Laurent;
Leygue, Adrien;
Ortiz, Michael

Publication type:

Article

Derivation of heterogeneous material laws via data-driven principal component expansions.

Published in:

Computational Mechanics, 2019, v. 64, n. 2, p. 365, doi. 10.1007/s00466-019-01728-w

By:

Yang, Hang;
Guo, Xu;
Tang, Shan;
Liu, Wing Kam

Publication type:

Article

Clustering discretization methods for generation of material performance databases in machine learning and design optimization.

Published in:

Computational Mechanics, 2019, v. 64, n. 2, p. 281, doi. 10.1007/s00466-019-01716-0

By:

Li, Hengyang;
Kafka, Orion L.;
Gao, Jiaying;
Yu, Cheng;
Nie, Yinghao;
Zhang, Lei;
Tajdari, Mahsa;
Tang, Shan;
Guo, Xu;
Li, Gang;
Tang, Shaoqiang;
Cheng, Gengdong;
Liu, Wing Kam

Publication type:

Article

Application of deep learning neural network to identify collision load conditions based on permanent plastic deformation of shell structures.

Published in:

Computational Mechanics, 2019, v. 64, n. 2, p. 435, doi. 10.1007/s00466-019-01706-2

By:

Chen, Guorong;
Li, Tiange;
Chen, Qijun;
Ren, Shaofei;
Wang, Chao;
Li, Shaofan

Publication type:

Article

A cooperative game for automated learning of elasto-plasticity knowledge graphs and models with AI-guided experimentation.

Published in:

Computational Mechanics, 2019, v. 64, n. 2, p. 467, doi. 10.1007/s00466-019-01723-1

By:

Wang, Kun;
Sun, WaiChing;
Du, Qiang

Publication type:

Article

Integrated Lagrangian and Eulerian 3D microstructure-explicit simulations for predicting macroscopic probabilistic SDT thresholds of energetic materials.

Published in:

Computational Mechanics, 2019, v. 64, n. 2, p. 547, doi. 10.1007/s00466-019-01729-9

By:

Wei, Yaochi;
Ranjan, Reetesh;
Roy, Ushasi;
Shin, Ju Hwan;
Menon, Suresh;
Zhou, Min

Publication type:

Article

A data-driven computational homogenization method based on neural networks for the nonlinear anisotropic electrical response of graphene/polymer nanocomposites.

Published in:

Computational Mechanics, 2019, v. 64, n. 2, p. 307, doi. 10.1007/s00466-018-1643-0

By:

Lu, Xiaoxin;
Giovanis, Dimitris G.;
Yvonnet, Julien;
Papadopoulos, Vissarion;
Detrez, Fabrice;
Bai, Jinbo

Publication type:

Article

Non-parametric material state field extraction from full field measurements.

Published in:

Computational Mechanics, 2019, v. 64, n. 2, p. 501, doi. 10.1007/s00466-019-01725-z

By:

Leygue, Adrien;
Seghir, Rian;
Réthoré, Julien;
Coret, Michel;
Verron, Erwan;
Stainier, Laurent

Publication type:

Article

Fast calculation of interaction tensors in clustering-based homogenization.

Published in:

Computational Mechanics, 2019, v. 64, n. 2, p. 351, doi. 10.1007/s00466-019-01719-x

By:

Zhang, Lei;
Tang, Shaoqiang;
Yu, Cheng;
Zhu, Xi;
Liu, Wing Kam

Publication type:

Article

Conditional deep surrogate models for stochastic, high-dimensional, and multi-fidelity systems.

Published in:

Computational Mechanics, 2019, v. 64, n. 2, p. 417, doi. 10.1007/s00466-019-01718-y

By:

Yang, Yibo;
Perdikaris, Paris

Publication type:

Article

Transfer learning of deep material network for seamless structure–property predictions.

Published in:

Computational Mechanics, 2019, v. 64, n. 2, p. 451, doi. 10.1007/s00466-019-01704-4

By:

Liu, Zeliang;
Wu, C. T.;
Koishi, M.

Publication type:

Article

Parametric Gaussian process regression for big data.

Published in:

Computational Mechanics, 2019, v. 64, n. 2, p. 409, doi. 10.1007/s00466-019-01711-5

By:

Raissi, Maziar;
Babaee, Hessam;
Karniadakis, George Em

Publication type:

Article

Learning slosh dynamics by means of data.

Published in:

Computational Mechanics, 2019, v. 64, n. 2, p. 511, doi. 10.1007/s00466-019-01705-3

By:

Moya, B.;
Gonzalez, D.;
Alfaro, I.;
Chinesta, F.;
Cueto, E.

Publication type:

Article