Colloquium Year: FALL 2025

TIME: 3:30 PM LOCATION: GMCS 314 SPEAKER: Christopher Douglas, Duke University ABSTRACT: Ongoing concerns about combustion-related greenhouse gas emissions have motivated substantial efforts to integrate alternative fuels such as hydrogen (H2) into existing energy infrastructure. Nonetheless, H2 is characterized by strong reactivity and remarkably high mass diffusion rates, leading to complex combustion dynamics that pose […]

TIME: 3:30 PM LOCATION: GMCS 314 SPEAKER: Bronson Messer, Oak Ridge National Laboratory (Leadership Computing Facility) ABSTRACT: The study of stellar explosions touches on a variety of fundamental questions, including the origin of the chemical elements, the formation of neutron stars and black holes, the generation of gravitational waves, and the dynamics of the interstellar […]

TIME: 3:30 PM LOCATION: GMCS 314 SPEAKER: Juhyeon Bae, San Diego State University (Civil, Construction, and Environmental Engineering) ABSTRACT: TBD HOST: TBD  

TIME: 3:30 PM LOCATION: GMCS 314 SPEAKER: Hans Johansen, Lawrence Berkeley National Laboratory (Applied Mathematics and Computational Research Division) ABSTRACT: Broadly speaking, computational science is about getting the best answer for a given amount of computing resources. But today’s computing resources include CPUs, GPUs, and supercomputers with 1000’s of nodes, and algorithms perform very differently […]

TIME: 3:30 PM LOCATION: GMCS 314 SPEAKER: John Lowengrub, University of California, Irvine ABSTRACT: Predicting brain tumor infiltration from MRI scans is crucial for understanding tumor progression and optimizing personalized treatment. While mathematical models of tumor growth provide valuable insights, estimating patient specific parameters from clinical data remains a challenging inverse problem due to sparse […]

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 […]

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 […]

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 […]

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 […]