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rocketsled is a black-box optimization framework "on rails" for high-throughput computation with FireWorks.

If you find rocketsled useful, please encourage its development by citing the following paper in your research:

Dunn, A., Brenneck, J., Jain, A., Rocketsled: a software library for optimizing
high-throughput computational searches. J. Phys. Mater. 2, 034002 (2019).

If you find FireWorks useful, please consider citing its paper as well:

Jain, A., Ong, S. P., Chen, W., Medasani, B., Qu, X., Kocher, M., Brafman, M.,
Petretto, G., Rignanese, G.-M., Hautier, G., Gunter, D., and Persson, K. A.
FireWorks: a dynamic workflow system designed for high-throughput applications.
Concurrency Computat.: Pract. Exper., 27: 5037–5059. (2015)

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Release files for rocketsled 1.1.0.20211129

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Source distribution (sdist)

Source distribution for rocketsled 1.1.0.20211129
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Table of built distributions (wheels) for rocketsled 1.1.0.20211129
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rocketsled-1.1.0.20211129-py3-none-any.whl Python 3 none any Details

Total release size: 82.2 kB

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Release files / rocketsled-1.1.0.20211129-py3-none-any.whl

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