|
| 1 | +% MOOSE |
| 2 | +% https://www.researchgate.net/publication/371340588_Hybrid_Temperature-Reactivity_PID_Controllers_for_Nuclear_Thermal_Propulsion_Startup |
| 3 | +% https://www.ans.org/meetings/nets2023/session/view-1640/#paper_4722 |
| 4 | +@InProceedings{Laboure_2023b, |
| 5 | + author = {Vincent M. Labour{\'{e}} and Stefano Terlizzi and Sebastian Schunert}, |
| 6 | + title = {{Hybrid temperature-reactivity PID controllers for nuclear thermal propulsion startup}}, |
| 7 | + booktitle = {{Proceedings of Nuclear Emerging Technologies for Space 2023 (NETS 2023)}}, |
| 8 | + address = {Idaho Falls, ID, USA}, |
| 9 | + month = may # {~7--11,}, |
| 10 | + year = 2023, |
| 11 | + note = {\url{https://tinyurl.com/5n8wnx5z}} |
| 12 | +} |
| 13 | + |
| 14 | +% MOOSE |
| 15 | +% "Both ... models are numerically implemented by the finite element method within ... NIsoS ... based on the MOOSE framework" |
| 16 | +@Article{YYang_2023, |
| 17 | + author = {Yangyiwei Yang and Timileyin David Oyedeji and Xiandong Zhou and Karsten Albe and Bai-Xiang Xu}, |
| 18 | + title = {{Tailoring magnetic hysteresis of additive manufactured Fe-Ni permalloy via multiphysics-multiscale simulations of process-property relationships}}, |
| 19 | + journal = {npj Computational Materials}, |
| 20 | + month = jun, |
| 21 | + year = 2023, |
| 22 | + volume = 9, |
| 23 | + pages = {103 (19 pages)}, |
| 24 | + note = {\url{https://doi.org/10.1038/s41524-023-01058-9}, ArXiv e-print: \url{https://arxiv.org/abs/2302.02217}} |
| 25 | +} |
| 26 | + |
| 27 | +% MOOSE/BISON |
| 28 | +% "Then, the generated database is used to fit an empirical tFGR model that has been implemented into the ... (Sifgrs) model ... within ... BISON ..." |
| 29 | +@Article{Capps_2023, |
| 30 | + author = {Nathan Capps and Larry Aagesen and David Andersson and Oliver Baldwin and W. Cade Brinkley and Michael W. D. Cooper and Jason Harp and Stephen Novascone and Pierre-Cl{\'{e}}ment A. Simon and Christopher Matthews and Brian D. Wirth}, |
| 31 | + title = {{Empirical and mechanistic transient fission gas release model for high-burnup LOCA conditions}}, |
| 32 | + journal = {Journal of Nuclear Materials}, |
| 33 | + month = oct, |
| 34 | + year = 2023, |
| 35 | + volume = 584, |
| 36 | + pages = {154557 (xx pages)}, |
| 37 | + note = {\url{https://doi.org/10.1016/j.jnucmat.2023.154557}} |
| 38 | +} |
| 39 | + |
| 40 | +% MOOSE/Ferret |
| 41 | +% "Calculations are performed using the Ferret module ... which is part of the open-source MOOSE framework" |
| 42 | +@Misc{Huang_2023, |
| 43 | + author = {Xiaoxi Huang and others}, |
| 44 | + title = {{Manipulating chiral-spin transport with ferroelectric polarization}}, |
| 45 | + month = jun, |
| 46 | + year = 2023, |
| 47 | + howpublished = {ArXiv e-print}, |
| 48 | + note = {\url{https://arxiv.org/abs/2306.02185}} |
| 49 | +} |
| 50 | + |
| 51 | +% MOOSE/BISON |
| 52 | +% "For this analysis, the BISON code was used, ..." |
| 53 | +@Article{Baghdasaryan_2023, |
| 54 | + author = {Nairi Baghdasaryan and Wen Jiang and Jason Hales and Tomasz Kozlowski and Zuzanna Krajewska}, |
| 55 | + title = {{TRISO fuel performance analysis: Uncertainty quantification toward optimization}}, |
| 56 | + journal = {Nuclear Engineering and Design}, |
| 57 | + month = aug, |
| 58 | + year = 2023, |
| 59 | + volume = 410, |
| 60 | + pages = {112401 (xx pages)}, |
| 61 | + note = {\url{https://doi.org/10.1016/j.nucengdes.2023.112401}} |
| 62 | +} |
| 63 | + |
1 | 64 | % MOOSE |
2 | 65 | % "In this work, a general-purpose computational electromagnetics module was developed within the MOOSE framework" |
3 | 66 | @phdthesis{Icenhour_thesis, |
@@ -862,18 +925,6 @@ @Article{Ghanbari_2023 |
862 | 925 | note = {\url{https://doi.org/10.1016/j.finel.2023.103916}} |
863 | 926 | } |
864 | 927 |
|
865 | | -% MOOSE/NIsoS |
866 | | -% "Both ... models are ... implemented ... within the program NIsoS ..., developed by the authors based on the MOOSE framework" |
867 | | -% author:oyedeji author:albe Tailoring magnetic hysteresis |
868 | | -@Misc{YYang_2023, |
869 | | - author = {Yangyiwei Yang and Timileyin David Oyedeji and Xiandong Zhou and Karsten Albe and Bai-Xiang Xu}, |
870 | | - title = {{Tailoring magnetic hysteresis of Fe-Ni permalloy by additive manufacturing: Multiphysics-multiscale simulations of process-property relationships}}, |
871 | | - month = feb, |
872 | | - year = 2023, |
873 | | - howpublished = {ArXiv e-print}, |
874 | | - note = {\url{https://arxiv.org/abs/2302.02217}} |
875 | | -} |
876 | | - |
877 | 928 | % MOOSE/DwarfElephant |
878 | 929 | % "... we precompute and store an affine decomposition using DwarfElephant..." |
879 | 930 | % author:aretz author:chen greedy sensor selection Bayesian |
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