Computational Science Research Center

Computational Science Research Center

Symbolic and Data-Driven Learning of Integrable Differential Equations and Open Quantum Systems

Date of the Event: September 19, 2025

TIME: 3:30 PM LOCATION: GMCS 314 SPEAKER: Jimmie Adriazola, Arizona State University ABSTRACT: In the first part of this talk, we introduce an operator learning framework for computer-assisted discovery of integrability in Hamiltonian dynamical systems. Integrablity is a mathematically rich topic and often the starting point for analyzing more complex, nonintegrable equations. However, it is […]

2025 FALL 2025

Parallel Programming for HPC an AI using Fortran 2023

Date of the Event: September 12, 2025

TIME: 3:30 PM LOCATION: GMCS 314 SPEAKER: Damian Rouson, Lawrence Berkeley National Laboratory ABSTRACT: The vast majority of parallel programs running on high-performance computing (HPC) platforms leverage parallel programming models often referred to as “MPI+X”, where MPI is the Message-Passing Interface and X typically stands for OpenMP, OpenACC, or CUDA. Over the course of the […]

2025 FALL 2025

Computing Geometry as a Mathematician in an Engineering Laboratory

Date of the Event: September 5, 2025

TIME: 3:30 PM LOCATION: GMCS 314 SPEAKER: Scott Mitchell, Sandia National Laboratory, Center for Computing Research ABSTRACT: I’ll describe my family’s colorful journey leading me to Sandia Labs, and what it’s like to work there and with the international research community. I’ll highlight some key technical concepts from triangulations and meshing, and how my work […]

2025 FALL 2025

Quantities Preserved by Mimetic Differences for Systems of Conservation Laws

Date of the Event: August 29, 2025

TIME: 3:30 PM LOCATION: GMCS 314 SPEAKER: Miguel Dumett, San Diego State University, Computational Science Research Center ABSTRACT: Mimetic differences is a numerical method for constructing schemes that can solve partial differential equations. The method is derived from a high-order approximation of the integration by parts and uses a staggered grid. It offers uniform accuracy over […]

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