|
| 1 | +% BISON |
| 2 | +% "3D axisymmetric BISON simulations were performed ..." |
| 3 | +@Misc{Kobayashi_2022, |
| 4 | + author = {Kazuma Kobayashi and Dinesh Kumar and Susmita Naskar and Souvik Chakraborty and Kyle Paaren and Joseph Graham and Syed Alam}, |
| 5 | + title = {{Uncertainty quantification and sensitivity analysis for digital twin enabling technology for accident tolerant fuel: Application for BISON fuel performance code}}, |
| 6 | + month = nov, |
| 7 | + year = 2022, |
| 8 | + howpublished = {ArXiv e-print}, |
| 9 | + note = {\url{https://arxiv.org/abs/2211.13687}} |
| 10 | +} |
| 11 | + |
| 12 | +% MOOSE |
| 13 | +% "The numerical simulations for coupled fluid flow and heat transfer processes are carried out with ... TIGER ... which is based on ... MOOSE" |
| 14 | +@Misc{GYan_2022, |
| 15 | + author = {G. Yan and B. Busch and R. Egert and M. Esmaeilpour and K. Stricker and T. Kohl}, |
| 16 | + title = {Transport mechanisms of hydrothermal convection in faulted tight sandstones}, |
| 17 | + month = nov, |
| 18 | + year = 2022, |
| 19 | + howpublished = {EGUsphere Preprint}, |
| 20 | + note = {\url{https://doi.org/10.5194/egusphere-2022-1185}} |
| 21 | +} |
| 22 | + |
1 | 23 | % MOOSE/SAM |
2 | 24 | % https://publications.anl.gov/anlpubs/2022/11/179789.pdf |
3 | 25 | @TechReport{LZou_2022b, |
@@ -176,7 +198,7 @@ @Article{Rossi_2022 |
176 | 198 | month = oct, |
177 | 199 | year = 2022, |
178 | 200 | volume = 13, |
179 | | - pages = {xx (20 pages)}, |
| 201 | + pages = {912947 (20 pages)}, |
180 | 202 | note = {\url{https://doi.org/10.3389/fphys.2022.912947}} |
181 | 203 | } |
182 | 204 |
|
@@ -715,15 +737,15 @@ @TechReport{Fei_2022b |
715 | 737 |
|
716 | 738 | % MOOSE |
717 | 739 | % "The phase field simulations are carried out using ... MOOSE" |
718 | | -@Article{Yan_2022, |
| 740 | +@Article{WYan_2022, |
719 | 741 | author = {Weishi Yan and Joseph Melville and Vishal Yadav and Kristien Everett and Lin Yang and Michael S. Kesler and Amanda R. Krause and Michael R. Tonks and Joel B. Harley}, |
720 | 742 | title = {A novel physics-regularized interpretable machine learning model for grain growth}, |
721 | 743 | journal = {Materials \& Design}, |
722 | 744 | month = oct, |
723 | 745 | year = 2022, |
724 | 746 | volume = 222, |
725 | 747 | pages = {111032 (31 pages)}, |
726 | | - note = {\url{https://doi.org/10.1016/j.matdes.2022.111032}} |
| 748 | + note = {\url{https://doi.org/10.1016/j.matdes.2022.111032}, ArXiv e-print: \url{https://arxiv.org/abs/2203.03735}} |
727 | 749 | } |
728 | 750 |
|
729 | 751 | % libMesh |
@@ -1976,18 +1998,6 @@ @Article{Zuo_2022 |
1976 | 1998 | note = {\url{https://doi.org/10.1186/s41313-021-00034-4}} |
1977 | 1999 | } |
1978 | 2000 |
|
1979 | | -% MOOSE |
1980 | | -% "The phase field simulations are carried out using ... (MOOSE)" |
1981 | | -% author:yan author:melville predicting 2D normal grain growth |
1982 | | -@Misc{WYan_2022, |
1983 | | - author = {Weishi Yan and Joseph Melville and Vishal Yadav and Lin Yang and Kristien Everett and Michael S. Kesler and Amanda R. Krause and Michael R. Tonks and Joel B. Harley}, |
1984 | | - title = {{Predicting 2D normal grain growth using a physics-regularized interpretable machine learning model}}, |
1985 | | - month = mar, |
1986 | | - year = 2022, |
1987 | | - howpublished = {ArXiv e-print}, |
1988 | | - note = {\url{https://arxiv.org/abs/2203.03735}} |
1989 | | -} |
1990 | | - |
1991 | 2001 | % MOOSE |
1992 | 2002 | % "This paper introduces a new application, Cardinal, that couples OpenMC ... and NekRS... to the MOOSE framework" |
1993 | 2003 | % https://www.researchgate.net/publication/359121160_COUPLED_MONTE_CARLO_TRANSPORT_AND_CONJUGATE_HEAT_TRANSFER_FOR_WIRE-WRAPPED_BUNDLES_WITHIN_THE_MOOSE_FRAMEWORK |
|
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