Mauricio Tano
Title
Cited by
Cited by
Year
A collision history-based approach to sensitivity/perturbation calculations in the continuous energy Monte Carlo code SERPENT
M Aufiero, A Bidaud, M Hursin, J Leppänen, G Palmiotti, S Pelloni, ...
Annals of Nuclear Energy 85, 245-258, 2015
1072015
Progress in modeling solidification in molten salt coolants
M Tano, P Rubiolo, O Doche
Modelling and Simulation in Materials Science and Engineering 25 (7), 074001, 2017
112017
High temperature thermal hydraulics modeling of a molten salt: Application to a molten salt fast reactor (MSFR)
PR Rubiolo, M Tano, V Ghetta, J Giraud
ESAIM: Proceedings and Surveys 58, 98-117, 2017
112017
Development of Data-Driven Turbulence Models in OpenFOAM $${^{\textregistered}} $$: Application to Liquid Fuel Nuclear Reactors
M Tano-Retamales, P Rubiolo, O Doche
OpenFOAM®, 93-108, 2019
8*2019
Four-way coupled Eulerian–Lagrangian Direct Numerical Simulations in a vertical laminar channel flow
J Schillings, O Doche, M Tano, F Bauer, J Deseure, S Tardu
International Journal of Multiphase Flow 89, 92-107, 2017
82017
MSFR fuel salt conditions during typical draining transients
V Ghetta, J Giraud, P Rubiolo, M Tano-Retamales
SAMOFAR (A Paradigm Shift in Nuclear Reactor Safety with the Molten Salt …, 2017
42017
Development of a cold plug valve with fluoride salt
J Giraud, V Ghetta, P Rubiolo, M Tano
EPJ Nuclear Sciences & Technologies 5, 9, 2019
32019
Overview of the salt at wall thermal exchanges (swath) experiment
PR Rubiolo, MT Retamales, J Giraud, V Ghetta
Transactions 115 (1), 1705-1708, 2016
32016
Accelerating training in artificial neural networks with dynamic mode decomposition
ME Tano, GD Portwood, JC Ragusa
arXiv preprint arXiv:2006.14371, 2020
22020
Developement of multi-physical multiscale models for molten salts at high temperature and their experimental validation
MT Retamales
Université Grenoble Alpes, 2018
22018
Multiphysics study of the draining transients in the Molten Salt Fast Reactor
M Tanoa, P Rubioloa, J Giraudb, V Ghettab
International Congress on Advances in Nuclear Power Plants (ICAPP 2018), 2018
22018
Developement of multi-physical multiscale models for molten salts at high temperature and their experimental validation
M Tano
Doctoral dissertation, Université Grenoble Alpes, 2018
22018
Design of Close and Open Channels Experiments to Study Molten Salt Flows
PR Rubiolo, M Tano, J Giraud, V Ghetta, J Blanco, O Doche, N Capellan
Nuclear Science and Engineering, 2021
12021
Rapid Response to Drive COVID-19 Research in a Learning Health Care System: Rationale and Design of the Houston Methodist COVID-19 Surveillance and Outcomes Registry (CURATOR)
F Vahidy, SL Jones, ME Tano, JC Nicolas, OA Khan, JR Meeks, AP Pan, ...
JMIR Medical Informatics 9 (2), e26773, 2021
12021
Sweep-Net: An Artificial Neural Network for radiation transport solves
ME Tano, JC Ragusa
Journal of Computational Physics 426, 109757, 2021
12021
Real world effectiveness of COVID-19 mRNA vaccines against hospitalizations and deaths in the United States
FS Vahidy, L Pischel, ME Tano, AP Pan, ML Boom, HD Sostman, K Nasir, ...
medRxiv, 2021
12021
Comparison of Reduced-Basis techniques for the model order reduction of parametric incompressible fluid flows
P German, M Tano, JC Ragusa, C Fiorina
Progress in Nuclear Energy 130, 103551, 2020
12020
USING ARTIFICIAL NEURAL NETWORKS TO ACCELERATE TRANSPORT SOLVES
ME Tano, JC Ragusa
12020
Accelerating Radiation Sn Transport Solves Using Artificial Neural Networks
ME Tano, JC Ragusa
Transactions 121 (1), 825-827, 2019
12019
Acceleration of radiation transport solves using artificial neural networks
M Tano, J Ragusa
arXiv preprint arXiv:1906.04017, 2019
12019
The system can't perform the operation now. Try again later.
Articles 1–20