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Ramin Bostanabad
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A framework for data-driven analysis of materials under uncertainty: Countering the curse of dimensionality
MA Bessa, R Bostanabad, Z Liu, A Hu, DW Apley, C Brinson, W Chen, ...
Computer Methods in Applied Mechanics and Engineering 320, 633-667, 2017
4832017
Deep learning predicts path-dependent plasticity
M Mozaffar, R Bostanabad, W Chen, K Ehmann, J Cao, MA Bessa
Proceedings of the National Academy of Sciences 116 (52), 26414-26420, 2019
3952019
Computational microstructure characterization and reconstruction: Review of the state-of-the-art techniques
R Bostanabad, Y Zhang, X Li, T Kearney, LC Brinson, DW Apley, WK Liu, ...
Progress in Materials Science 95, 1-41, 2018
3442018
Stochastic microstructure characterization and reconstruction via supervised learning
R Bostanabad, AT Bui, W Xie, DW Apley, W Chen
Acta Materialia 103, 89-102, 2016
2172016
Uncertainty quantification in multiscale simulation of woven fiber composites
R Bostanabad, B Liang, J Gao, WK Liu, J Cao, D Zeng, X Su, H Xu, Y Li, ...
Computer Methods in Applied Mechanics and Engineering 338, 506-532, 2018
1312018
Leveraging the nugget parameter for efficient Gaussian process modeling
R Bostanabad, T Kearney, S Tao, DW Apley, W Chen
International journal for numerical methods in engineering 114 (5), 501-516, 2018
772018
Characterization and reconstruction of 3D stochastic microstructures via supervised learning
R Bostanabad, W Chen, DW Apley
Journal of microscopy 264 (3), 282-297, 2016
752016
Deep learning predicts boiling heat transfer
Y Suh, R Bostanabad, Y Won
Scientific reports 11 (1), 5622, 2021
712021
Reconstruction of 3D microstructures from 2D images via transfer learning
R Bostanabad
Computer-Aided Design 128, 102906, 2020
682020
Globally approximate gaussian processes for big data with application to data-driven metamaterials design
R Bostanabad, YC Chan, L Wang, P Zhu, W Chen
Journal of Mechanical Design 141 (11), 111402, 2019
682019
A numerical Bayesian-calibrated characterization method for multiscale prepreg preforming simulations with tension-shear coupling
W Zhang, R Bostanabad, B Liang, X Su, D Zeng, MA Bessa, Y Wang, ...
Composites Science and Technology 170, 15-24, 2019
492019
Enhanced Gaussian process metamodeling and collaborative optimization for vehicle suspension design optimization
S Tao, K Shintani, R Bostanabad, YC Chan, G Yang, H Meingast, W Chen
International Design Engineering Technical Conferences and Computers and …, 2017
442017
Mosaic flows: A transferable deep learning framework for solving PDEs on unseen domains
H Wang, R Planas, A Chandramowlishwaran, R Bostanabad
Computer Methods in Applied Mechanics and Engineering 389, 114424, 2022
422022
Multi-fidelity cost-aware Bayesian optimization
ZZ Foumani, M Shishehbor, A Yousefpour, R Bostanabad
Computer Methods in Applied Mechanics and Engineering 407, 115937, 2023
332023
Latent map Gaussian processes for mixed variable metamodeling
N Oune, R Bostanabad
Computer Methods in Applied Mechanics and Engineering 387, 114128, 2021
282021
Characterization of the optical properties of turbid media by supervised learning of scattering patterns
I Hassaninia, R Bostanabad, W Chen, H Mohseni
Scientific reports 7 (1), 15259, 2017
282017
Data fusion with latent map Gaussian processes
JT Eweis-Labolle, N Oune, R Bostanabad
Journal of Mechanical Design 144 (9), 091703, 2022
252022
Train once and use forever: Solving boundary value problems in unseen domains with pre-trained deep learning models
H Wang, R Planas, A Chandramowlishwaran, R Bostanabad
arXiv e-prints, arXiv: 2104.10873, 2021
182021
Data centric design: A new approach to design of microstructural material systems
W Chen, A Iyer, R Bostanabad
Engineering 10, 89-98, 2022
172022
Data-driven calibration of multifidelity multiscale fracture models via latent map gaussian process
S Deng, C Mora, D Apelian, R Bostanabad
Journal of Mechanical Design 145 (1), 011705, 2023
152023
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