Materials science optimization benchmark dataset for multi-objective, multi-fidelity optimization of hard-sphere packing simulations.
- DOI
- 10.1016/j.dib.2023.109487
- Published
- 2023 Oct
- Container
- Data in brief
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.dib.2023.109487,
title = {Materials science optimization benchmark dataset for multi-objective, multi-fidelity optimization of hard-sphere packing simulations.},
author = {Baird SG and Issa R and Sparks TD},
year = {2023},
journal = {Data in brief},
doi = {10.1016/j.dib.2023.109487},
url = {https://doi.org/10.1016/j.dib.2023.109487}
}RIS
TY - JOUR TI - Materials science optimization benchmark dataset for multi-objective, multi-fidelity optimization of hard-sphere packing simulations. AU - Baird SG AU - Issa R AU - Sparks TD PY - 2023 JO - Data in brief DO - 10.1016/j.dib.2023.109487 UR - https://doi.org/10.1016/j.dib.2023.109487 ER -
APA
SG, B., R, I., & TD, S. (2023). Materials science optimization benchmark dataset for multi-objective, multi-fidelity optimization of hard-sphere packing simulations.. Data in brief. https://doi.org/10.1016/j.dib.2023.109487
Source records
- pubmed · retrieved 2026-09-26T08:49:26.033Z