W. Betz, I. Papaioannou, and D. Straub, Numerical methods for the discretization of random fields by means of the karhunen-loève expansion, Computer Methods in Applied Mechanics and Engineering, vol.271, pp.109-129, 2014.

C. E. Rasmussen and C. W. , Gaussian Processes for Machine Learning, 2006.

P. Colonna, J. Harinck, S. Rebay, and A. Guardone, Real-gas effects in organic rankine cycle turbine nozzles, Journal of Propulsion and Power, vol.24, issue.2, pp.282-294, 2008.

A. De-boer, M. Van-der-schoot, and H. Bijl, Mesh deformation based on radial basis function interpolation, Computers & structures, vol.85, pp.784-795, 2007.

E. A. Dow and Q. Wang, Optimal design and tolerancing of compressor blades subject to manufacturing variability, 16th AIAA Non-Deterministic Approaches Conference, p.1008, 2014.

E. Brochu, V. M. De-freitas, and N. , A tutorial on bayesian optimization of expensive cost functions, with application to active user modeling and hierarchical reinforcement learning, 2010.

T. D. Economon, D. Mudigere, G. Bansal, A. Heinecke, F. Palacios et al., Performance optimizations for scalable implicit {RANS} calculations with {SU2}, Computers & Fluids, vol.129, pp.146-158, 2016.

G. Farin, Curves and Surfaces for CAGD: A Practical Guide, p.10, 2002.

M. B. Giles, Nonreflecting boundary conditions for euler equation calculations, AIAA journal, vol.28, issue.12, pp.2050-2058, 1990.

E. Macchi, The choice of working fluid: the most important step for a successful organic rankine cycle (and an efficient turbine), Second International Seminar on ORC Power Systems, pp.7-8, 2013.

A. Meroni, J. Andreasen, G. Persico, and F. Haglind, Optimization of organic rankine cycle power systems considering multistage axial turbine design, Applied Energy, vol.209, pp.339-354, 2018.

G. Persico, P. Rodriguez-fernandez, and A. Romei, High-fidelity shape-optimization of non-conventional turbomachinery by surrogate evolutionary strategies, Journal of Turbomachinery, vol.141, issue.8, p.81010, 2019.

M. Pini, G. Persico, and V. Dossena, Robust adjoint-based shape optimization of supersonic turbomachinery cascades, ASME Turbo Expo 2014: Turbine Technical Conference and Exposition, pp.2-39, 2014.

M. Pini, G. Persico, D. Pasquale, and S. Rebay, Adjoint method for shape optimization in real-gas flow applications, ASME Journal of Engineering for Gas Turbines and Power, vol.137, issue.3, 2015.

M. Pini, G. Persico, D. Pasquale, and S. Rebay, Adjoint method for shape optimization in real-gas flow applications, ASME Journal of Engineering for Gas Turbines and Power, vol.137, issue.3, 2015.

N. Razaaly, G. Gori, G. Iaccarino, and P. Congedo, Optimization of an orc supersonic nozzle under epistemic uncertainties due to turbulence models, GPPS, 2019.
URL : https://hal.archives-ouvertes.fr/hal-01982227

N. Razaaly, G. Persico, and P. M. Congedo, Impact of geometric, operational, and model uncertainties on the non-ideal flow through a supersonic orc turbine cascade, vol.169, pp.213-227, 2019.
URL : https://hal.archives-ouvertes.fr/hal-01982234

S. Vitale, T. A. Albring, M. Pini, N. R. Gauger, and P. Colonna, Fully turbulent discrete adjoint solver for non-ideal compressible flow applications, Journal of the Global Power and Propulsion Society, vol.1, p.1, 2017.

S. Vitale, G. Gori, M. Pini, A. Guardone, T. D. Economon et al., Extension of the SU2 open source CFD code to the simulation of turbulent flows of fluids modelled with complex thermophysical laws, Number AIAA Paper, pp.2015-2760, 2015.