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Koloszar, L.
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1

Adjoint shape optimization coupled with LES-adapted RANS of..:

Alessi, G. ; Verstraete, T. ; Koloszar, L...
Computers & Fluids.  228 (2021)  - p. 105057 , 2021
Link: https://doi.org/10.1016/..
 
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2

Hunting for the correct pressure drop in a scaled reactor p..:

Lopes, S. ; Koloszar, L. ; Planquart, P...
Nuclear Engineering and Design.  384 (2021)  - p. 111452 , 2021
Link: https://doi.org/10.1016/..
 
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3

CFD analysis of the erosion of a light gas stratification b..:

Attavino, A. ; Koloszar, L. ; Adorni, M..
International Journal of Heat and Fluid Flow.  78 (2019)  - p. 108409 , 2019
Link: https://doi.org/10.1016/..
 
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4

(U)RANS pool thermal hydraulics:

, In: Thermal Hydraulics Aspects of Liquid Metal Cooled Nuclear Reactors,
Koloszar, L. ; Moreau, V. - p. 341-359 , 2019
Link: https://doi.org/10.1016/..
 
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5

Best practice guidelines for nuclear liquid metal CFD:

, In: Thermal Hydraulics Aspects of Liquid Metal Cooled Nuclear Reactors,
Roelofs, F. ; Planquart, P. ; Koloszar, L. - p. 407-419 , 2019
Link: https://doi.org/10.1016/..
 
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6

Contributors:

, In: Thermal Hydraulics Aspects of Liquid Metal Cooled Nuclear Reactors,
Angeli, D. ; Bartosiewicz, Y. ; Bassini, S.... - p. xi-xiv , 2019
Link: https://doi.org/10.1016/..
 
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7

Node-Based Adjoint Surface Optimization of U-Bend Duct for ..:

, In: Computational Methods in Applied Sciences; Evolutionary and Deterministic Methods for Design Optimization and Control With Applications to Industrial and Societal Problems,
Alessi, G. ; Koloszar, L. ; Verstraete, Tom. - p. 61-75 , 2018
Link: https://doi.org/10.1007/..
 
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8

Residual Distribution Method for Aeroacoustics:

Koloszár, L. ; Villedieu, N. ; Quintino, T....
AIAA Journal.  49 (2011)  5 - p. 1021-1037 , 2011
Link: https://doi.org/10.2514/..
 
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9

Radial variation of total phenol content in beech (Fagus sy..:

Albert, L. ; Hofmann, T. ; Németh, Zs. I....
Holz als Roh- und Werkstoff.  61 (2003)  3 - p. 227-230 , 2003
Link: https://doi.org/10.1007/..
 
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10

Tournament rituals and experiential competence development ..:

Koloszár, László ; Wimmer, Ágnes ; Takácsné György, Katalin.
The International Journal of Management Education.  22 (2024)  1 - p. 100929 , 2024
Link: https://doi.org/10.1016/..
 
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11

State-of-the-art turbulent heat flux modelling for low-Pran..:

Mathur, Akshat ; Roelofs, Ferry ; Fiore, Matilde.
Nuclear Engineering and Design.  406 (2023)  - p. 112241 , 2023
Link: https://doi.org/10.1016/..
 
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12

RANS thermal modelling of a natural convection boundary lay..:

Villa Ortiz, Agustín ; Koloszar, Lilla
Computers & Fluids.  254 (2023)  - p. 105809 , 2023
Link: https://doi.org/10.1016/..
 
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13

Physics-constrained machine learning for thermal turbulence..:

Fiore, Matilde ; Koloszar, Lilla ; Fare, Clyde...
International Journal of Heat and Mass Transfer.  194 (2022)  - p. 122998 , 2022
Link: https://doi.org/10.1016/..
 
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14

Turbulent heat flux modelling in forced convection flows us..:

Fiore, Matilde ; Koloszar, Lilla ; Mendez, Miguel Alfonso..
Nuclear Engineering and Design.  399 (2022)  - p. 112005 , 2022
Link: https://doi.org/10.1016/..
 
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15

A collaborative effort towards the accurate prediction of t..:

Shams, A. ; Roelofs, F. ; Tiselj, I....
Nuclear Engineering and Design.  366 (2020)  - p. 110750 , 2020
Link: https://doi.org/10.1016/..
 
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