NSE - Nuclear Science & Engineering at MIT


Emilio Baglietto

Emilio Baglietto

Norman C. Rasmussen Associate Professor of Nuclear Science and Engineering
Thermal Hydraulics Focus-Area Lead for the Consortium for Advanced Simulation of Lightwater Reactors (CASL)


Consortium for Advanced Simulation of Light Water Reactors (CASL)



PhD, Nuclear Engineering, Tokyo Institute of Technology, 2004.
M.S., Nuclear Engineering, University of Pisa, 2002.


  • 2005 Best Paper Award from the Thermal-Hydraulics Division of the American Nuclear Society, Washington D.C, November 2005.
  • Invited Lecturer to the 2005 Dr Forum of the Atomic Energy Society of Japan, September 15th and 16th 2005, Hachinoue, JAPAN.


Turbulence Modeling

The availability of more robust and physically realistic turbulence models will bring immediate and major improvements to the reactor's economic and safety performance. The unique generality of the approaches that we are developing allows designing new configurations and innovative concepts, accurately reproducing complex flow and heat transfer distributions; these improvements directly translate into higher efficiency and reduced failures.

Unsteady flow phenomena

Unsteady flows are often encountered in nuclear applications and can strongly affect the efficiency and reliability of components. Understanding of the underlying physical mechanism and development of groundbreaking modeling techniques is a focus of our research.

Multiphase flow and boiling

Computational multi-phase flow techniques are being developed to provide a faithful representation of the complex boiling and two-phase flow regimes. Applications include the use of interface tracking techniques to develop cross-flow correlations for subchannel analysis codes and use of the Euler-Euler approach to represent the boiling phenomena in PWR and BWR cores. These methods have demonstrated great potential, and pioneering work is ongoing to bring them up to develop reliable design tools. 

Virtual Reactor Modeling

Development of innovative computational approaches is being incorporated with the ability of implementing full scale detailed models of reactor designs. These high quality, large scale models will incorporate validated multiphysics in order to predict complex multileveled interactions in the early stage of the design. Such innovative tool will significantly modify the project approach for advanced solutions and innovative concepts.

Research profile


Recent Publications

  1. F. Roelofs, A. Shams, I. Otic, M. Böttcher, M. Duponcheel, Y. Bartosiewicz, D. Lakehal, E. Baglietto, S. Lardeau, X. Cheng, 2015 — Status and Perspective of Turbulence Heat Transfer Modelling for the Industrial Application of Liquid Metal Flows, Nuclear Engineering and Design, In press — Available online.
  2. *L. Gilman, E. Baglietto, 2014 — A Novel Subgrid Wall Boiling Model from Improved Physical Understanding for use in Computational Fluid Dynamics — Part 1: Theoretical formulation and Implications, submitted to the International Journal of Multiphase Flow.
  3. *L. Gilman, E. Baglietto, 2014 — A Novel Subgrid Wall Boiling Model from Improved Physical Understanding for use in Computational Fluid Dynamics — Part 2: Model Evaluation and Sensitivity, submitted to the International Journal of Multiphase Flow
  4. E.A. Bates, A. Salazar, M.J. Driscoll, E. Baglietto, J. Buongiorno, 2014 — Plug Design for Deep Borehole Disposal of High-Level Nuclear Waste, Nuclear Technology 188 Issue 2.
  5. A. Shams, F. Roelofs, E. Baglietto, S. Lardeau, S. Kenjeres, 2014 — Assessment and Calibration of an Algebraic Turbulent Heat Flux Model for Low-Prandtl Fluids, International Journal of Heat and Mass Transfer 79 (2014) 589–601.


22.313J Thermal Hydraulics in Power Technology
22.315 Applied Computational Fluid Dynamics and Heat Transfer


Recent News

Department of Nuclear Science & Engineering

Massachusetts Institute of Technology
77 Massachusetts Avenue, 24-107
Cambridge, MA 02139