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Youngsuk Bang, Ph.D.

Affiliations: 
2012 North Carolina State University, Raleigh, NC 
Area:
Nuclear Engineering, Applied Mathematics, Computer Engineering
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"Youngsuk Bang"
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Hany S. Abdel-Khalik grad student 2012 NCSU
 (Hybrid Reduced Order Modeling Algorithms for Reactor Physics Calculations.)

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Publications

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Bang Y, Abdel-Khalik HS, Jessee MA, et al. (2013) Hybrid reduced order modeling for assembly calculations International Conference On Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M and C 2013. 3: 2028-2039
Abdel-Khalik HS, Bang Y, Wang C. (2013) Overview of hybrid subspace methods for uncertainty quantification, sensitivity analysis Annals of Nuclear Energy. 52: 28-46
Bang Y, Abdel-Khalik HS. (2013) Projection-based second order perturbation theory Annals of Nuclear Energy. 52: 80-85
Bang Y, Abdel-Khalik HS. (2013) Hybrid reduced order modeling algorithms for reactor physics calculations, invited, mark mills award winner Transactions of the American Nuclear Society. 109: 1385-1388
Abdel-Khalik HS, Bang Y, Kennedy C, et al. (2012) Reduced Order Modeling For Nonlinear Multi-Component Models International Journal For Uncertainty Quantification. 2: 341-361
Bang Y, Wang C, Abdel-Khalik HS. (2012) State-Based Adjoint Method for Reduced Order Modeling Transport Theory and Statistical Physics. 41: 101-132
Bang Y, Abdel-Khalik HS, Hite JM. (2012) Hybrid reduced order modeling applied to nonlinear models International Journal For Numerical Methods in Engineering. 91: 929-949
Bang Y, Abdel-Khalik HS. (2012) A surrogate-based uncertainty quantification with quantifiable errors International Conference On the Physics of Reactors 2012, Physor 2012: Advances in Reactor Physics. 4: 2916-2930
Bang Y, Abdel-Khalik HS. (2012) Reduced order modeling for multi-physics problems Transactions of the American Nuclear Society. 107: 586-588
Bang Y, Abdel-Khalik HS. (2011) State-based adjoint model reduction for large scale control problems Proceedings - Isrcs 2011: 4th International Symposium On Resilient Control Systems. 69-74
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