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@inproceedings{delRosario2020design,
title={When are Design Allowables Conservative?},
author={{del Rosario}, Zachary and Fenrich, Richard W and Iaccarino, Gianluca},
booktitle={AIAA {SciTech} 2020 {Forum}},
pages={0414},
year={2020},
doi = {10.2514/6.2020-0414}
}
@article{freeman2014active,
title={Active learning increases student performance in science, engineering, and mathematics},
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@article{numpy2011,
author={S. {van der Walt} and S. C. {Colbert} and G. {Varoquaux}},
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}
@article{matplotlib2007,
author={J. D. {Hunter}},
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@InProceedings{mckinney-proc-scipy-2010,
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title = { {D}ata {S}tructures for {S}tatistical {C}omputing in {P}ython },
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pages = { 56 - 61 },
year = { 2010 },
editor = { {S}t\'efan van der {W}alt and {J}arrod {M}illman },
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}
@article{pedregosa2011scikit,
title={Scikit-learn: Machine learning in Python},
author={Pedregosa, Fabian and Varoquaux, Ga{\"e}l and Gramfort, Alexandre and Michel, Vincent and Thirion, Bertrand and Grisel, Olivier and Blondel, Mathieu and Prettenhofer, Peter and Weiss, Ron and Dubourg, Vincent and others},
journal={The Journal of Machine Learning Research},
volume={12},
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}
@article{wickham2019tidyverse,
title = {Welcome to the {tidyverse}},
author = {Hadley Wickham and Mara Averick and Jennifer Bryan and Winston Chang
and Lucy D'Agostino McGowan and Romain François and Garrett
Grolemund and Alex Hayes and Lionel Henry and Jim Hester and
Max Kuhn and Thomas Lin Pedersen and Evan Miller and Stephan
Milton Bache and Kirill Müller and Jeroen Ooms and David
Robinson and Dana Paige Seidel and Vitalie Spinu and Kohske
Takahashi and Davis Vaughan and Claus Wilke and Kara Woo and
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}
@inproceedings{kluyver2016jupyter,
title={Jupyter Notebooks-a publishing format for reproducible computational workflows.},
author={Kluyver, Thomas and Ragan-Kelley, Benjamin and P{\'e}rez, Fernando and Granger, Brian E and Bussonnier, Matthias and Frederic, Jonathan and Kelley, Kyle and Hamrick, Jessica B and Grout, Jason and Corlay, Sylvain and others},
booktitle={ELPUB},
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}
@misc{kiefer2019dfply,
author = {Katovich, Kiefer},
title = {dfply},
year = {2019},
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journal = {GitHub repository},
howpublished = {\url{https://github.com/kieferk/dfply}},
commit = {6a858f066602735a90f8b6b85106bc39ceadc282}
}
@article{ward2018matminer,
title={Matminer: An open source toolkit for materials data mining},
author={Ward, Logan and Dunn, Alexander and Faghaninia, Alireza and Zimmermann, Nils ER and Bajaj, Saurabh and Wang, Qi and Montoya, Joseph and Chen, Jiming and Bystrom, Kyle and Dylla, Maxwell and others},
journal={Computational Materials Science},
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year={2018},
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}
@techreport{adams2017sandia,
title={Sandia Capabilities for Uncertainty Quantification.},
author={Adams, Brian M},
year={2017},
institution={Sandia National Lab.(SNL-NM), Albuquerque, NM (United States)}
}
@incollection{marelli2014uqlab,
title={UQLab: A framework for uncertainty quantification in Matlab},
author={Marelli, Stefano and Sudret, Bruno},
booktitle={Vulnerability, uncertainty, and risk: quantification, mitigation, and management},
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year={2014},
doi = {10.1061/9780784413609.257}
}