Stefano Terlizzi

John and Jean Brennan Early Career Professor

Pennsylvania State University

United States

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About

Stefano Terlizzi is the John and Jean Brennan Early Career Professor at Pennsylvania State University, USA. His research focuses on advanced nuclear reactor systems, with recent publications covering topics such as multiphysics studies using the MOOSE framework, TRISO-fueled microreactors, and validation techniques for computational sequences in reactor experiments. He is also involved in innovative control strategies for nuclear thermal propulsion and studies of hydrogen redistribution in moderated heat-pipe-cooled microreactors.

Articles (14)

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2025

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2020

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2020

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2020

Collaborators (3)

Ben Lindley

Associate Professor

University of Wisconsin-Madison

UNITED STATES

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April Novak

Assistant Professor

University of Illinois Urbana–Champaign

UNITED STATES

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Dan Kotlyar

Assistant Professor

Georgia Institute of Technology

UNITED STATES

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Stefano Terlizzi

Research Interests

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Articles (14)

Data transfers for nuclear reactor multiphysics studies using the MOOSE framework

Preliminary studies on diversion and misuse for TRISO-fueled heat-pipe-cooled microreactors

Validation and Verification of Serpent-Griffin Computational Sequence Using the SNAP 8 Experimental Reactor Dry Experiments

Automated power-following control for nuclear thermal propulsion startup and shutdown using MOOSE-based applications

Automated power-following control for nuclear thermal propulsion startup and shutdown using MOOSE-based applications

Asymptotic hydrogen redistribution analysis in yttrium-hydride-moderated heat-pipe-cooled microreactors using DireWolf

The Virtual Test Bed (VTB) Repository: A Library of Reference Reactor Models Using NEAMS Tools

Asymptotic hydrogen redistribution analysis in yttrium-hydride-moderated heat-pipe-cooled microreactors using DireWolf

A perturbation-based acceleration for Monte Carlo – Thermal Hydraulics Picard iterations. Part I: Theory and application to extruded BWR unit-cell.

A perturbation-based acceleration for Monte Carlo – Thermal Hydraulics Picard iterations. Part II: Application to 3D PWR-based problems

ON THE FLY PREDICTION OF TH-DEPENDENT SPATIAL MACROSCOPIC CROSS-SECTIONS USING FFT

serpentTools: A Python Package for Expediting Analysis with Serpent

High temperature ultra-small modular reactor: Pre-conceptual design

On-The-Fly Prediction of Macroscopic Cross-Section Spatial Response to TH Perturbations Through Transfer Functions: Theory and First Results

Collaborators (3)

Ben Lindley

April Novak

Dan Kotlyar

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