University of Notre Dame College of Engineering
C-SWARM | Center for Shock Wave-processing of Advanced Reactive Materials


Center for Shock Wave-processing of Advanced Reactive Materials

Temistocle GrengaTemistocle Grenga

Graduate Student
University of Notre Dame

Computational Physics Team

Field(s) of Interest

Compressible reactive flow, turbulent combustion, chemical reactive mechanism, numerical methods, HPC, energy efficiency

Description of Your Work/Project in C-SWARM

I'm the current developer of the parallel Wavelet Adaptive Multiscale Representation (pWAMR) solver, a Fortran 90 code with MPI parallelization that produces verified solutions of physical phenomena in 3D domains using HPC facilities.

I have used the code to perform Direct Numerical Simulations for compressible reactive flow in 1, 2 and 3 dimensions using up to 2048 cores. In the future it will be used on much larger number of cores and also in the simulation of the behavior of heterogeneous materials (shock induced response) as proposed in C-SWARM.


NERSC Allocation Award 2012, 2013, 2014, 2015 as PI Proxy for the project on Parallel Adaptive Wavelet Method for the Simulation of Compressible Reactive Flow

Kaneb Center/Graduate School Outstanding Graduate Award, 2012


Mechanical Engineering

Field of Study:

Computational Fluid Dynamics, Combustion, High Performance Computation

Degree Being Pursued:


Academic Advisor:

Professor Samuel Paolucci

Degree(s) Held:

Master of Science,
Mechanical Engineering,
University of Notre Dame,

Master of Science,
Aeronautical Engineering,
Sapienza University
of Rome,

Bachelor of Science,
Aerospace Engineering,
Sapienza University
of Rome,

Selected Publications

  1. Valorani, Mauro, Samuel Paolucci, Emanuele Martelli, Temistocle Grenga, and Pietro P. Ciottoli. "Dynamical system analysis of ignition phenomena using the Tangential Stretching Rate concept." Combustion and Flame 162, no. 8 (2015): 2963-2990.

  2. Samuel Paolucci, Zachary J. Zikoski, and Temistocle Grenga. "WAMR: An adaptive wavelet method for the simulation of compressible reacting flow. Part II. The parallel algorithm." Journal of Computational Physics 272 (2014): 842-864.