Deep learning approaches for mining structure-property linkages in high contrast composites from simulation datasets
- Authors:
- Publication Date:
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1548213
- Grant/Contract Number:
- SC0014330; DESC0007456
- Resource Type:
- Publisher's Accepted Manuscript
- Journal Name:
- Computational Materials Science
- Additional Journal Information:
- Journal Name: Computational Materials Science Journal Volume: 151 Journal Issue: C; Journal ID: ISSN 0927-0256
- Publisher:
- Elsevier
- Country of Publication:
- Netherlands
- Language:
- English
Citation Formats
Yang, Zijiang, Yabansu, Yuksel C., Al-Bahrani, Reda, Liao, Wei-keng, Choudhary, Alok N., Kalidindi, Surya R., and Agrawal, Ankit. Deep learning approaches for mining structure-property linkages in high contrast composites from simulation datasets. Netherlands: N. p., 2018.
Web. doi:10.1016/j.commatsci.2018.05.014.
Yang, Zijiang, Yabansu, Yuksel C., Al-Bahrani, Reda, Liao, Wei-keng, Choudhary, Alok N., Kalidindi, Surya R., & Agrawal, Ankit. Deep learning approaches for mining structure-property linkages in high contrast composites from simulation datasets. Netherlands. https://doi.org/10.1016/j.commatsci.2018.05.014
Yang, Zijiang, Yabansu, Yuksel C., Al-Bahrani, Reda, Liao, Wei-keng, Choudhary, Alok N., Kalidindi, Surya R., and Agrawal, Ankit. Wed .
"Deep learning approaches for mining structure-property linkages in high contrast composites from simulation datasets". Netherlands. https://doi.org/10.1016/j.commatsci.2018.05.014.
@article{osti_1548213,
title = {Deep learning approaches for mining structure-property linkages in high contrast composites from simulation datasets},
author = {Yang, Zijiang and Yabansu, Yuksel C. and Al-Bahrani, Reda and Liao, Wei-keng and Choudhary, Alok N. and Kalidindi, Surya R. and Agrawal, Ankit},
abstractNote = {},
doi = {10.1016/j.commatsci.2018.05.014},
journal = {Computational Materials Science},
number = C,
volume = 151,
place = {Netherlands},
year = {Wed Aug 01 00:00:00 EDT 2018},
month = {Wed Aug 01 00:00:00 EDT 2018}
}
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https://doi.org/10.1016/j.commatsci.2018.05.014
https://doi.org/10.1016/j.commatsci.2018.05.014
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Cited by: 143 works
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Works referenced in this record:
Perspective: Materials informatics and big data: Realization of the “fourth paradigm” of science in materials science
journal, April 2016
- Agrawal, Ankit; Choudhary, Alok
- APL Materials, Vol. 4, Issue 5
Linking process, structure, property, and performance for metal-based additive manufacturing: computational approaches with experimental support
journal, January 2016
- Smith, Jacob; Xiong, Wei; Yan, Wentao
- Computational Mechanics, Vol. 57, Issue 4
Materials discovery: Understanding polycrystals from large-scale electron patterns
conference, December 2016
- Liu, Ruoqian; Agrawal, Ankit; Liao, Wei-keng
- 2016 IEEE International Conference on Big Data (Big Data)
Automated, high throughput exploration of process–structure–property relationships using the MapReduce paradigm
journal, January 2015
- Wodo, Olga; Zola, Jaroslaw; Sarath Pokuri, Balaji Sesha
- Materials Discovery, Vol. 1
Statistical continuum theory for large plastic deformation of polycrystalline materials
journal, March 2001
- Garmestani, H.; Lin, S.; Adams, B. L.
- Journal of the Mechanics and Physics of Solids, Vol. 49, Issue 3
A predictive machine learning approach for microstructure optimization and materials design
journal, June 2015
- Liu, Ruoqian; Kumar, Abhishek; Chen, Zhengzhang
- Scientific Reports, Vol. 5, Issue 1
A Deep Adversarial Learning Methodology for Designing Microstructural Material Systems
conference, November 2018
- Li, Xiaolin; Yang, Zijiang; Brinson, L. Catherine
- ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, Volume 2B: 44th Design Automation Conference
A strong contrast homogenization formulation for multi-phase anisotropic materials
journal, June 2008
- Fullwood, David T.; Adams, Brent L.; Kalidindi, Surya R.
- Journal of the Mechanics and Physics of Solids, Vol. 56, Issue 6
Structure–property linkages using a data science approach: Application to a non-metallic inclusion/steel composite system
journal, June 2015
- Gupta, Akash; Cecen, Ahmet; Goyal, Sharad
- Acta Materialia, Vol. 91
Vision for Data and Informatics in the Future Materials Innovation Ecosystem
journal, August 2016
- Kalidindi, Surya R.; Medford, Andrew J.; McDowell, David L.
- JOM, Vol. 68, Issue 8
Calibrated localization relationships for elastic response of polycrystalline aggregates
journal, December 2014
- Yabansu, Yuksel C.; Patel, Dipen K.; Kalidindi, Surya R.
- Acta Materialia, Vol. 81
Including crystal structure attributes in machine learning models of formation energies via Voronoi tessellations
journal, July 2017
- Ward, Logan; Liu, Ruoqian; Krishna, Amar
- Physical Review B, Vol. 96, Issue 2
Microstructure of two‐phase random media. I. The n ‐point probability functions
journal, August 1982
- Torquato, S.; Stell, G.
- The Journal of Chemical Physics, Vol. 77, Issue 4
Inverse methods for material design
journal, May 2014
- Jain, Avni; Bollinger, Jonathan A.; Truskett, Thomas M.
- AIChE Journal, Vol. 60, Issue 8
Modeling thermal conductivity of hemp insulation material: A multi-scale homogenization approach
journal, October 2016
- Nguyen, S. T.; Tran-Le, A. D.; Vu, M. N.
- Building and Environment, Vol. 107
Application of spherical indentation and the materials knowledge system framework to establishing microstructure-yield strength linkages from carbon steel scoops excised from high-temperature exposed components
journal, February 2018
- Iskakov, Almambet; Yabansu, Yuksel C.; Rajagopalan, Sudhir
- Acta Materialia, Vol. 144
Reduced-order structure-property linkages for polycrystalline microstructures based on 2-point statistics
journal, May 2017
- Paulson, Noah H.; Priddy, Matthew W.; McDowell, David L.
- Acta Materialia, Vol. 129
Microstructural Materials Design Via Deep Adversarial Learning Methodology
journal, October 2018
- Yang, Zijiang; Li, Xiaolin; Catherine Brinson, L.
- Journal of Mechanical Design, Vol. 140, Issue 11
Deep Convolutional Neural Networks with transfer learning for computer vision-based data-driven pavement distress detection
journal, December 2017
- Gopalakrishnan, Kasthurirangan; Khaitan, Siddhartha K.; Choudhary, Alok
- Construction and Building Materials, Vol. 157
Process–structure–property relationships for nugget and heat affected zone regions of AA2524–T351 friction stir welds
journal, December 2005
- Yan, Junhui; Sutton, M. A.; Reynolds, A. P.
- Science and Technology of Welding and Joining, Vol. 10, Issue 6
Spectral representation of higher-order localization relationships for elastic behavior of polycrystalline cubic materials
journal, September 2008
- Kalidindi, Surya R.; Landi, Giacomo; Fullwood, David T.
- Acta Materialia, Vol. 56, Issue 15
Extraction of reduced-order process-structure linkages from phase-field simulations
journal, February 2017
- Yabansu, Yuksel C.; Steinmetz, Philipp; Hötzer, Johannes
- Acta Materialia, Vol. 124
Multiscale modeling of the mechanical behavior of IN718 superalloy based on micropillar compression and computational homogenization
journal, October 2015
- Cruzado, A.; Gan, B.; Jiménez, M.
- Acta Materialia, Vol. 98
Microstructure Representation and Reconstruction of Heterogeneous Materials Via Deep Belief Network for Computational Material Design
journal, May 2017
- Cang, Ruijin; Xu, Yaopengxiao; Chen, Shaohua
- Journal of Mechanical Design, Vol. 139, Issue 7
Data-driven reduced order models for effective yield strength and partitioning of strain in multiphase materials
journal, October 2017
- Latypov, Marat I.; Kalidindi, Surya R.
- Journal of Computational Physics, Vol. 346
Multi-scale modeling of elastic response of three-dimensional voxel-based microstructure datasets using novel DFT-based knowledge systems
journal, April 2010
- Landi, Giacomo; Niezgoda, Stephen R.; Kalidindi, Surya R.
- Acta Materialia, Vol. 58, Issue 7
Improved Scaling of Molecular Network Calculations: The Emergence of Molecular Domains
journal, January 2017
- Gagorik, Adam G.; Savoie, Brett; Jackson, Nick
- The Journal of Physical Chemistry Letters, Vol. 8, Issue 2
Deep Residual Learning for Image Recognition
conference, June 2016
- He, Kaiming; Zhang, Xiangyu; Ren, Shaoqing
- 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Key computational modeling issues in Integrated Computational Materials Engineering
journal, January 2013
- Panchal, Jitesh H.; Kalidindi, Surya R.; McDowell, David L.
- Computer-Aided Design, Vol. 45, Issue 1
3D Convolutional Neural Networks for Human Action Recognition
journal, January 2013
- Ji, Shuiwang; Xu, Wei; Yang, Ming
- IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 35, Issue 1
Representation and calibration of elastic localization kernels for a broad class of cubic polycrystals
journal, August 2015
- Yabansu, Yuksel C.; Kalidindi, Surya R.
- Acta Materialia, Vol. 94
Perturbation-based stochastic multi-scale computational homogenization method for the determination of the effective properties of composite materials with random properties
journal, March 2016
- Zhou, X. -Y.; Gosling, P. D.; Pearce, C. J.
- Computer Methods in Applied Mechanics and Engineering, Vol. 300
A new framework for computationally efficient structure–structure evolution linkages to facilitate high-fidelity scale bridging in multi-scale materials models
journal, January 2011
- Fast, Tony; Niezgoda, Stephen R.; Kalidindi, Surya R.
- Acta Materialia, Vol. 59, Issue 2
Application of data science tools to quantify and distinguish between structures and models in molecular dynamics datasets
journal, August 2015
- Kalidindi, Surya R.; Gomberg, Joshua A.; Trautt, Zachary T.
- Nanotechnology, Vol. 26, Issue 34
Computational Design of Hierarchically Structured Materials
journal, August 1997
- Olson, G. B.
- Science, Vol. 277, Issue 5330
Gradient-based learning applied to document recognition
journal, January 1998
- Lecun, Y.; Bottou, L.; Bengio, Y.
- Proceedings of the IEEE, Vol. 86, Issue 11
Face recognition: a convolutional neural-network approach
journal, January 1997
- Lawrence, S.; Giles, C. L.
- IEEE Transactions on Neural Networks, Vol. 8, Issue 1
Rethinking the Inception Architecture for Computer Vision
conference, June 2016
- Szegedy, Christian; Vanhoucke, Vincent; Ioffe, Sergey
- 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Formulation and calibration of higher-order elastic localization relationships using the MKS approach
journal, June 2011
- Fast, Tony; Kalidindi, Surya R.
- Acta Materialia, Vol. 59, Issue 11
Bounds for effective elastic moduli of disordered materials
journal, April 1977
- Kröner, E.
- Journal of the Mechanics and Physics of Solids, Vol. 25, Issue 2
Knowledge discovery and data mining in pavement inverse analysis
journal, March 2013
- Gopalakrishnan, Kasthurirangan; Agrawal, Ankit; Ceylan, Halil
- Transport, Vol. 28, Issue 1
Data science approaches for microstructure quantification and feature identification in porous membranes
journal, October 2017
- Altschuh, Patrick; Yabansu, Yuksel C.; Hötzer, Johannes
- Journal of Membrane Science, Vol. 540
Predictive analytics for crystalline materials: bulk modulus
journal, January 2016
- Furmanchuk, Al'ona; Agrawal, Ankit; Choudhary, Alok
- RSC Advances, Vol. 6, Issue 97
Combinatorial screening for new materials in unconstrained composition space with machine learning
journal, March 2014
- Meredig, B.; Agrawal, A.; Kirklin, S.
- Physical Review B, Vol. 89, Issue 9
Quantification and classification of microstructures in ternary eutectic alloys using 2-point spatial correlations and principal component analyses
journal, May 2016
- Choudhury, Abhik; Yabansu, Yuksel C.; Kalidindi, Surya R.
- Acta Materialia, Vol. 110