|
| 1 | +% MOOSE |
| 2 | +% "Computation of the trial stress and update of the plastic strain and stress increment were solved numerically with the radial return methods implemented in the MOOSE code" |
| 3 | +@Article{Lin_2023, |
| 4 | + author = {Binbin Lin and Setareh Medghalchi and Sandra Korte-Kerzel and Bai-Xiang Xu}, |
| 5 | + title = {A machine learning enabled image-data-driven end-to-end mechanical field predictor for dual-phase steel}, |
| 6 | + journal = {Proceedings in Applied Mathematics and Mechanics}, |
| 7 | + month = mar, |
| 8 | + year = 2023, |
| 9 | + volume = 22, |
| 10 | + number = 1, |
| 11 | + pages = {e202200110 (6 pages)}, |
| 12 | + note = {\url{https://doi.org/10.1002/pamm.202200110}} |
| 13 | +} |
| 14 | + |
| 15 | +% MOOSE/Pronghorn |
| 16 | +@Misc{Schunert_2023, |
| 17 | + author = {Sebastian Schunert and Javier Ortensi and Yaqi Wang and Paolo Balestra and Mustafa Jaradat and Olin William Calvin and Joshua Hanophy and Logan Harbour}, |
| 18 | + title = {{An equilibrium core depletion algorithm for pebble-bed reactors in the Griffin code}}, |
| 19 | + month = mar, |
| 20 | + year = 2023, |
| 21 | + howpublished = {SSRN preprint}, |
| 22 | + note = {\url{https://doi.org/10.2139/ssrn.4340955}} |
| 23 | +} |
| 24 | + |
| 25 | +% BISON |
| 26 | +% "3D axisymmetric BISON simulations were performed ..." |
| 27 | +% This has a very similar title to Kobayashi_2022b which came out around the same time, but the author list is different. |
| 28 | +% https://link.springer.com/referenceworkentry/10.1007/978-3-030-72322-4_205-1 |
| 29 | +@InBook{Kobayashi_2023, |
| 30 | + author = {Kazuma Kobayashi and Dinesh Kumar and Matthew Bonney and Souvik Chakraborty and Kyle Paaren and Syed Alam}, |
| 31 | + title = {{Uncertainty quantification and sensitivity analysis for digital twin enabling technology for accident tolerant fuel: Application for BISON fuel performance code}}, |
| 32 | + pages = {1--13}, |
| 33 | + year = 2023, |
| 34 | + publisher = {Springer, Cham}, |
| 35 | + booktitle = {Handbook of Smart Energy Systems}, |
| 36 | + editor = {Michel Fathi and Enrico Zio and Panos M. Pardalos}, |
| 37 | + note = {\url{https://doi.org/10.1007/978-3-030-72322-4_205-1}, ArXiv e-print: \url{https://arxiv.org/abs/2210.07541}} |
| 38 | +} |
| 39 | + |
| 40 | +% MOOSE |
| 41 | +% "The system of these equations is implemented in ... GOLEM ... built on the object-oriented numerical framework, MOOSE" |
| 42 | +% This DOI was not live when I first checked it... |
| 43 | +% https://www.researchgate.net/publication/369333171_Numerical_investigation_of_the_effect_of_fluid_pressurization_rate_on_laboratory-scale_injection-induced_fault_slip/references |
| 44 | +% https://doi.org/10.1038/s41598-023-30866-8 |
| 45 | +@Article{Hutka_2023, |
| 46 | + author = {Gerg{\H{o}} Andr{\'{a}}s Hutka and Mauro Cacace and Hannes Hofmann and Arno Zang and Lei Wang and Yinlin Ji}, |
| 47 | + title = {Numerical investigation of the effect of fluid pressurization rate on laboratory-scale injection-induced fault slip}, |
| 48 | + journal = {Scientific Reports}, |
| 49 | + month = mar, |
| 50 | + year = 2023, |
| 51 | + volume = 13, |
| 52 | + pages = {4437 (12 pages)}, |
| 53 | + note = {\url{https://www.nature.com/articles/s41598-023-30866-8}} |
| 54 | +} |
| 55 | + |
| 56 | +% MOOSE |
| 57 | +% "In order to appropriately simulate these complex physical processes in a wellbore, a finite element code, called MOSKITO ... is developed in ... MOOSE" |
| 58 | +@Article{Esmaeilpour_2023, |
| 59 | + author = {Morteza Esmaeilpour and Maziar {Gholami Korzani} and Thomas Kohl}, |
| 60 | + title = {Stochastic performance assessment on long-term behavior of multilateral closed deep geothermal systems}, |
| 61 | + journal = {Renewable Energy}, |
| 62 | + month = may, |
| 63 | + year = 2023, |
| 64 | + volume = 208, |
| 65 | + pages = {26--35}, |
| 66 | + note = {\url{https://doi.org/10.1016/j.renene.2023.03.074}} |
| 67 | +} |
| 68 | + |
| 69 | +% MOOSE |
| 70 | +% "The combined Cahn-Hilliard equations were solved using the weak form of the residual series of MOOSE's pre-designed Cahn-Hilliard PDEs." |
| 71 | +@Article{Farizhandi_2023, |
| 72 | + author = {Amir Abbas Kazemzadeh Farizhandi and Mahmood Mamivand}, |
| 73 | + title = {Spatiotemporal prediction of microstructure evolution with predictive recurrent neural network}, |
| 74 | + journal = {Computational Materials Science}, |
| 75 | + month = apr, |
| 76 | + year = 2023, |
| 77 | + volume = 223, |
| 78 | + pages = {112110 (xx pages)}, |
| 79 | + note = {\url{https://doi.org/10.1016/j.commatsci.2023.112110}} |
| 80 | +} |
| 81 | + |
| 82 | +% libMesh |
| 83 | +% "Our code is based on the finite element libraries libMesh ... and FEniCS." |
| 84 | +@Misc{Fritz_2023, |
| 85 | + author = {Marvin Fritz}, |
| 86 | + title = {{Tumor evolution models of phase-field type with nonlocal effects and angiogenesis}}, |
| 87 | + month = mar, |
| 88 | + year = 2023, |
| 89 | + howpublished = {ArXiv e-print}, |
| 90 | + note = {\url{https://arxiv.org/abs/2303.10968}} |
| 91 | +} |
| 92 | + |
1 | 93 | % MOOSE |
2 | 94 | % "The constitutive model was implemented as a material model in the open-source library, ... (MOOSE)" |
3 | 95 | @Article{Dhole_2023, |
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