College of Engineering Seminars & Speakers

View Full Calendar

NPRE 596 Graduate Seminar Series - Mario Ortega

Event Type
NPRE 596 Graduate Seminar Series
2100 Sidney Lu Mechanical Engineering Building, 1206 W. Green Street, Urbana, IL
Nov 14, 2023   4:00 - 4:50 pm  
Dr. Mario Ortega, Staff Scientist, Los Alamos National Laboratory
Free and Open to the Public
Originating Calendar
NPRE seminars

Neutron (and other Particle) Transport at LANL: An Overview 

 Abstract: For decades, Los Alamos National Laboratory has been at the forefront of neutron transport methods research and code development. One such code is PARTISN, the LANL parallel time-dependent discrete ordinate neutron transport code. In this presentation, we describe the various research efforts currently underway by the PARTISN and other code teams. Some examples of current research are a block automated mesh refinement scheme, the application of tensor trains to the discretized neutron transport equation, and GPU code porting. The block automated mesh refinement scheme uses cross section information to refine and coarsen the solution mesh to improve time to solution and reduce memory. The tensor train approach expresses discretized transport operators as tensor products of vectors and matrices to compress the size of linear systems being solved by transport codes. Rather than relying on matrix-free methods such as the transport sweep, we have access to an operator that can be inverted, reshaped, or manipulated algebraically. Finally, we describe how PARTISN is used, what problems we are looking to solve, and what the future holds for neutron transport at LANL. In addition to this, we briefly describe the various research efforts in other particle transport teams using both deterministic and Monte Carlo methods. In the presentation, we list possible opportunities for collaboration between the laboratory and faculty and students.

 Biography: Mario Ortega is a Staff Scientist at Los Alamos National Laboratory. He is part of the PARTISN team. Mario has a BS and MS in Nuclear Engineering from the University of New Mexico and a PhD in Nuclear Engineering from the University of California, Berkeley. Mario is an alumnus of the DOE Computational Science Graduate Fellowship. Mario‚Äôs interests include methods development in neutron transport, numerical linear algebra, high-performance computing, and machine learning.

link for robots only