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A Transfer Learning Approach for Microstructure Reconstruction and Structure-property Predictions.

Publication ,  Journal Article
Li, X; Zhang, Y; Zhao, H; Burkhart, C; Brinson, LC; Chen, W
Published in: Scientific reports
September 2018

Stochastic microstructure reconstruction has become an indispensable part of computational materials science, but ongoing developments are specific to particular material systems. In this paper, we address this generality problem by presenting a transfer learning-based approach for microstructure reconstruction and structure-property predictions that is applicable to a wide range of material systems. The proposed approach incorporates an encoder-decoder process and feature-matching optimization using a deep convolutional network. For microstructure reconstruction, model pruning is implemented in order to study the correlation between the microstructural features and hierarchical layers within the deep convolutional network. Knowledge obtained in model pruning is then leveraged in the development of a structure-property predictive model to determine the network architecture and initialization conditions. The generality of the approach is demonstrated numerically for a wide range of material microstructures with geometrical characteristics of varying complexity. Unlike previous approaches that only apply to specific material systems or require a significant amount of prior knowledge in model selection and hyper-parameter tuning, the present approach provides an off-the-shelf solution to handle complex microstructures, and has the potential of expediting the discovery of new materials.

Duke Scholars

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Published In

Scientific reports

DOI

EISSN

2045-2322

ISSN

2045-2322

Publication Date

September 2018

Volume

8

Issue

1

Start / End Page

13461
 

Citation

APA
Chicago
ICMJE
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Li, X., Zhang, Y., Zhao, H., Burkhart, C., Brinson, L. C., & Chen, W. (2018). A Transfer Learning Approach for Microstructure Reconstruction and Structure-property Predictions. Scientific Reports, 8(1), 13461. https://doi.org/10.1038/s41598-018-31571-7
Li, Xiaolin, Yichi Zhang, He Zhao, Craig Burkhart, L Catherine Brinson, and Wei Chen. “A Transfer Learning Approach for Microstructure Reconstruction and Structure-property Predictions.Scientific Reports 8, no. 1 (September 2018): 13461. https://doi.org/10.1038/s41598-018-31571-7.
Li X, Zhang Y, Zhao H, Burkhart C, Brinson LC, Chen W. A Transfer Learning Approach for Microstructure Reconstruction and Structure-property Predictions. Scientific reports. 2018 Sep;8(1):13461.
Li, Xiaolin, et al. “A Transfer Learning Approach for Microstructure Reconstruction and Structure-property Predictions.Scientific Reports, vol. 8, no. 1, Sept. 2018, p. 13461. Epmc, doi:10.1038/s41598-018-31571-7.
Li X, Zhang Y, Zhao H, Burkhart C, Brinson LC, Chen W. A Transfer Learning Approach for Microstructure Reconstruction and Structure-property Predictions. Scientific reports. 2018 Sep;8(1):13461.

Published In

Scientific reports

DOI

EISSN

2045-2322

ISSN

2045-2322

Publication Date

September 2018

Volume

8

Issue

1

Start / End Page

13461