Abstract
This code is built on top of the ML-PSA utility and implements the ability to implement a multi-fidelity parallel simulated annealing optimization for a range of engineering problems. RX-PSA provides specializations to interact with modern nuclear reactor codes such as VERA to perform assembly and core optimization in a robust way. RX-PSA also provides LWR specific objective functions and constraints to provide a straightforward user interface that reactor designers are familiar with.
- Developers:
- Release Date:
- 2021-08-09
- Project Type:
- Closed Source
- Software Type:
- Scientific
- Programming Languages:
-
Python 3
- Sponsoring Org.:
-
USDOEPrimary Award/Contract Number:AC05-00OR22725
- Code ID:
- 95909
- Site Accession Number:
- 8284
- Research Org.:
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
- Country of Origin:
- United States
Citation Formats
Collins, Benjamin S., Gurecky, William L., Kropaczek, David J., Laiu, Ming Tse P., and Pandya, Tara M.
RX-PSA.
Computer Software.
USDOE.
09 Aug. 2021.
Web.
doi:10.11578/dc.20221117.2.
Collins, Benjamin S., Gurecky, William L., Kropaczek, David J., Laiu, Ming Tse P., & Pandya, Tara M.
(2021, August 09).
RX-PSA.
[Computer software].
https://doi.org/10.11578/dc.20221117.2.
Collins, Benjamin S., Gurecky, William L., Kropaczek, David J., Laiu, Ming Tse P., and Pandya, Tara M.
"RX-PSA." Computer software.
August 09, 2021.
https://doi.org/10.11578/dc.20221117.2.
@misc{
doecode_95909,
title = {RX-PSA},
author = {Collins, Benjamin S. and Gurecky, William L. and Kropaczek, David J. and Laiu, Ming Tse P. and Pandya, Tara M.},
abstractNote = {This code is built on top of the ML-PSA utility and implements the ability to implement a multi-fidelity parallel simulated annealing optimization for a range of engineering problems. RX-PSA provides specializations to interact with modern nuclear reactor codes such as VERA to perform assembly and core optimization in a robust way. RX-PSA also provides LWR specific objective functions and constraints to provide a straightforward user interface that reactor designers are familiar with.},
doi = {10.11578/dc.20221117.2},
url = {https://doi.org/10.11578/dc.20221117.2},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20221117.2}},
year = {2021},
month = {aug}
}