E-LIB Suche - Ergebnisse für: Dinh, Nam T.

1

Machine learning from RANS and LES to inform coarse grid si..:

Iskhakov, Arsen S. ; Dinh, Nam T. ; Leite, Victor Coppo.
Progress in Nuclear Energy. 163 (2023) - p. 104809 , 2023

Link: https://doi.org/10.1016/..

2

Data-Driven RANS Turbulence Closures for Forced Convection ..:

Iskhakov, Arsen S. ; Tai, Cheng-Kai ; Bolotnov, Igor A....
Nuclear Technology. 210 (2023) 7 - p. 1167-1184 , 2023

Link: https://doi.org/10.1080/..

3

Direct Numerical Simulation of Low and Unitary Prandtl Numb..:

Tai, Cheng-Kai ; Nguyen, Tri ; Iskhakov, Arsen S....
Nuclear Technology. 210 (2023) 7 - p. 1097-1118 , 2023

Link: https://doi.org/10.1080/..

4

Data-Driven High-to-Low for Coarse Grid System Thermal Hydr..:

Iskhakov, Arsen S. ; Coppo Leite, Victor ; Merzari, Elia.
Nuclear Science and Engineering. 198 (2023) 7 - p. 1426-1438 , 2023

Link: https://doi.org/10.1080/..

5

Development and assessment of a reactor system prognosis mo..:

Gurgen, Anil ; Dinh, Nam T.
Nuclear Engineering and Design. 398 (2022) - p. 111976 , 2022

Link: https://doi.org/10.1016/..

6

A Perspective on Data-Driven Coarse Grid Modeling for Syste..:

Iskhakov, Arsen S. ; Tai, Cheng-Kai ; Bolotnov, Igor A..
Nuclear Science and Engineering. 197 (2022) 10 - p. 2527-2542 , 2022

Link: https://doi.org/10.1080/..

7

An adaptive knowledge-based data-driven approach for turbul..:

Zhu, Yangmo ; Dinh, Nam T. ; Saini, Nadish.
Nuclear Engineering and Design. 393 (2022) - p. 111814 , 2022

Link: https://doi.org/10.1016/..

8

Integration of neural networks with numerical solution of P..:

Iskhakov, Arsen S. ; Dinh, Nam T. ; Chen, Edward
Physics Letters A. 406 (2021) - p. 127456 , 2021

Link: https://doi.org/10.1016/..

9

Machine-learning based error prediction approach for coarse..:

Hanna, Botros N. ; Dinh, Nam T. ; Youngblood, Robert W..
Progress in Nuclear Energy. 118 (2020) - p. 103140 , 2020

Link: https://doi.org/10.1016/..

10

Reynolds-Averaged Turbulence Modeling Using Deep Learning w..:

Chang, Chih-Wei ; Fang, Jun ; Dinh, Nam T.
Nuclear Science and Engineering. 194 (2020) 8-9 - p. 650-664 , 2020

Link: https://doi.org/10.1080/..

11

An Application of ASP in Nuclear Engineering: Explaining th..:

HANNA, BOTROS N. ; TRIEU, LY LY T ; SON, TRAN C..
Theory and Practice of Logic Programming. 20 (2020) 6 - p. 926-941 , 2020

Link: https://doi.org/10.1017/..

12

Uncertainty quantification of two-phase flow and boiling he..:

Liu, Yang ; Dinh, Nam T. ; Smith, Ralph C..
International Journal of Heat and Mass Transfer. 138 (2019) - p. 1096-1116 , 2019

Link: https://doi.org/10.1016/..

13

A data-driven framework for error estimation and mesh-model..:

Bao, Han ; Dinh, Nam T. ; Lane, Jeffrey W..
Nuclear Engineering and Design. 349 (2019) - p. 27-45 , 2019

Link: https://doi.org/10.1016/..

14

Validation and uncertainty quantification of multiphase-CFD..:

Liu, Yang ; Sun, Xiaodong ; Dinh, Nam T.
Nuclear Engineering and Design. 354 (2019) - p. 110200 , 2019

Link: https://doi.org/10.1016/..

15

Classification of machine learning frameworks for data-driv..:

Chang, Chih-Wei ; Dinh, Nam T.
International Journal of Thermal Sciences. 135 (2019) - p. 559-579 , 2019

Link: https://doi.org/10.1016/..