Ramin Bostanabad
Title
Cited by
Cited by
Year
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
1732017
Stochastic microstructure characterization and reconstruction via supervised learning
R Bostanabad, AT Bui, W Xie, DW Apley, W Chen
Acta Materialia 103, 89-102, 2016
1042016
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
872018
Characterization and reconstruction of 3D stochastic microstructures via supervised learning
R Bostanabad, W Chen, DW Apley
Journal of microscopy 264 (3), 282-297, 2016
342016
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
332018
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
282018
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
172019
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
172017
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), 1-14, 2017
132017
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
122019
Multiscale modeling of carbon fiber reinforced polymer (CFRP) for integrated computational materials engineering process
J Gao, B Liang, W Zhang, Z Liu, P Cheng, R Bostanabad, J Cao, W Chen, ...
Ford Motor Company, 2017
62017
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), 2019
42019
Reconstruction of 3D Microstructures from 2D Images via Transfer Learning
R Bostanabad
Computer-Aided Design 128, 102906, 2020
12020
11.1 Background and literature review
R Bostanabad, B Liang, A van Beek, J Gao, WK Liu, J Cao, D Zeng, X Su, ...
Uncertainty Quantification in Multiscale Materials Modeling, 355, 2020
2020
Multiscale simulation of fiber composites with spatially varying uncertainties
R Bostanabad, B Liang, A van Beek, J Gao, WK Liu, J Cao, D Zeng, X Su, ...
Uncertainty Quantification in Multiscale Materials Modeling, 355-384, 2020
2020
Gaussian Process Emulation for Big Data in Data-Driven Metamaterials Design
R Bostanabad, YC Chan, L Wang, P Zhu, W Chen
International Design Engineering Technical Conferences and Computers and …, 2019
2019
Package ‘GPM’
R Bostanabad, T Kearney, S Tao, D Apley, W Chen, MR Bostanabad
2019
Quantification of Microstructure Induced Uncertainty in Multiscale Materials with Random Processes
R Bostanabad
Northwestern University, 2019
2019
Globally Approximate Gaussian Processes for Big Data with Application to Data-Driven Metamaterials Design (IDETC2019-98027)
R Bostanabad, YC Chan, L Wang, P Zhu, W Chen
2019
NOTE: Please submit your paper in Microsoft
B Liang, W Zhang, Z Liu, P Cheng, R Bostanabad, J Cao, W Chen, ...
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