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Rocketsled

plug-n-play black box optimizer for high-throughput computing

Install / Use

/learn @hackingmaterials/Rocketsled
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

<img alt="rocketsled" src="docs_rst/_static/logo-small.png" width="350">

| Tests | Release | |:----------:|:-------------:| | example workflow | PyPI version |

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)

Related Skills

View on GitHub
GitHub Stars51
CategoryDevelopment
Updated6mo ago
Forks12

Languages

Python

Security Score

77/100

Audited on Sep 9, 2025

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