Elia Merzari

Affiliate Researcher
Titles and Affiliations
Professor, Ken and Mary Alice Lindquist Department of Nuclear Engineering

In the News

Research Keywords

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Recent Publications

Multiscale Modeling of Flow in Rod Bundles: From Direct Numerical Simulation and Subchannel to Coarse-Mesh CFD

Kraus, A. R. & Merzari, E., 2024, (Accepted/In press) In: Nuclear Science and Engineering.

Research output: Contribution to journalArticlepeer-review

Direct numerical simulation of a pressurized thermal shock scenario at higher reynolds number

Mathur, A., Kraus, A., Merzari, E. & Komen, E. M. J., Jun 1 2024, In: International Journal of Heat and Mass Transfer. 224, 125321.

Research output: Contribution to journalArticlepeer-review

Energy Exascale Computational Fluid Dynamics Simulations With the Spectral Element Method

Merzari, E., Leite, V. C., Fang, J., Shaver, D., Min, M., Kerkemeier, S., Fischer, P. & Tomboulides, A., Apr 1 2024, In: Journal of Fluids Engineering, Transactions of the ASME. 146, 4, 041105.

Research output: Contribution to journalArticlepeer-review

High-fidelity simulations of the run-in process for a pebble-bed reactor

Stewart, R., Balestra, P., Reger, D., Merzari, E. & Strydom, G., Jan 2024, In: Annals of Nuclear Energy. 195, 110193.

Research output: Contribution to journalArticlepeer-review

On the role of low frequency modes in the thermal and momentum mixing in parallel plane jets

Acierno, J. & Merzari, E., Dec 2023, In: International Journal of Heat and Fluid Flow. 104, 109211.

Research output: Contribution to journalArticlepeer-review

Direct Numerical Simulation of Heat Transfer in a 7-Pin Wire-Wrapped Rod Bundle

Bourdot Dutra, C., Aldeia Machado, L. & Merzari, E., 2023, (Accepted/In press) In: Nuclear Science and Engineering.

Research output: Contribution to journalArticlepeer-review

High-Fidelity Modeling and Experiments to Inform Safety Analysis Codes for Heat Pipe Microreactors

Bourdot Dutra, C. S., Merzari, E., Acierno, J., Kraus, A., Manera, A., Petrov, V., Ahn, T., Huang, P. H. & Shaver, D., 2023, In: Nuclear Technology. 209, 10, p. 1592-1616 25 p.

Research output: Contribution to journalArticlepeer-review

High-Fidelity Simulation of Mixing Phenomena in Large Enclosures

Coppo Leite, V., Merzari, E., Mao, J., Petrov, V. & Manera, A., 2023, (Accepted/In press) In: Nuclear Science and Engineering.

Research output: Contribution to journalArticlepeer-review

Two-Phase Turbulent Kinetic Energy Budget Computation in Co-Current Taylor Bubble Flow

Frederix, E. M. A., Tajfirooz, S., Hopman, J. A., Fang, J., Merzari, E. & Komen, E. M. J., 2023, In: Nuclear Science and Engineering. 197, 10, p. 2585-2601 17 p.

Research output: Contribution to journalArticlepeer-review

A hybrid domain overlapping method for coupling System Thermal Hydraulics and CFD codes

Huxford, A., Leite, V. C., Merzari, E., Zou, L., Petrov, V. & Manera, A., Sep 1 2023, In: Annals of Nuclear Energy. 189, 109842.

Research output: Contribution to journalArticlepeer-review

Data-Driven High-to-Low for Coarse Grid System Thermal Hydraulics

Iskhakov, A. S., Coppo Leite, V., Merzari, E. & Dinh, N. T., 2023, (Accepted/In press) In: Nuclear Science and Engineering.

Research output: Contribution to journalArticlepeer-review

Data-Driven RANS Turbulence Closures for Forced Convection Flow in Reactor Downcomer Geometry

Iskhakov, A. S., Tai, C. K., Bolotnov, I. A., Nguyen, T., Merzari, E., Shaver, D. R. & Dinh, N. T., 2023, (Accepted/In press) In: Nuclear Technology.

Research output: Contribution to journalArticlepeer-review

Machine learning from RANS and LES to inform coarse grid simulations

Iskhakov, A. S., Dinh, N. T., Leite, V. C. & Merzari, E., Sep 2023, In: Progress in Nuclear Energy. 163, 104809.

Research output: Contribution to journalArticlepeer-review

Status, perspectives, and added value of high fidelity simulations for safety and design

Komen, E. M. J., Mathur, A., Roelofs, F., Merzari, E. & Tiselj, I., Jan 2023, In: Nuclear Engineering and Design. 401, 112082.

Research output: Contribution to journalArticlepeer-review

High-Fidelity Simulations of Shield Assembly Mixed-Convection Flows with Applications Toward Reduced-Resolution Modeling

Kraus, A. R., Merzari, E., Martin, M., Langewisch, D. & Hassan, Y., 2023, (Accepted/In press) In: Nuclear Science and Engineering.

Research output: Contribution to journalArticlepeer-review