Name: Andy Nonaka
Pronouns: he/him/his
Biography:
I am a Staff Scientist and Group Lead of the Center for Computational Sciences and Engineering (CCSE) at the Lawrence Berkeley National Laboratory. I am interested in HPC implementations of multiphysics and multiscale algorithms for PDEs using structured grid, adaptive mesh, particle/grid, and machine learning algorithms. Models I am particularly interested in are: fluid mechanics, stochastic systems, and electromagnetic models applied to fields such as astrophysics, multiphase and microscale flows, and microelectronics modeling. More broadly, CCSE is also involved in applications such as cosmology, ocean modeling, atmospheric modeling, accelerators, plasmas, biological flows
Institution/Lab: Lawrence Berkeley National Laboratory
Website: https://ccse.lbl.gov/people/nonaka/index.html
SRP Collaboration Topic/Title: Multiphysics and Multiscale Modeling with AMReX
Field or research area: Modeling and Simulation
Please select all the topical areas that apply to your project:
Computational Science Applications (i.e., bioscience, cosmology, chemistry, environmental science, nanotechnology, climate, etc.); High-Performance Computing; Machine Learning and AI
Brief Abstract:
The Center for Computational Sciences (CCSE) and Engineering at LBL is home to applied mathematicians, computer scientists, and domain scientists that perform modeling and simulation of complex PDE systems across a variety applications. We are seeking collaboration with scientists interested in working on existing CCSE projects and/or developing their models and algorithms using the AMReX framework, an exascale ready infrastructure that supports structured grid, particle/particle-mesh, and machine learning algorithms. Active applications in CCSE include astrophysics, cosmology, multiphase flow, accelerators, plasma physics, microelectronics, atmospheric flows, oceanic flows, microscale flow, and stochastic mesoscale systems.
Desired relevant skills, background, or interests:
Numerical analysis, numerical ODEs and PDEs, C++, python, parallel programming, GPU programming, domain science expertise.
Other comments:
Do any special requirements apply? In-Person Only; Permanent Resident OK; International OK
Other, specify:
Keywords:
Multiphysics, multiscale, PDEs, structured mesh, particles, machine learning, fluids, stochastic PDEs, atmospheric modeling, ocean modeling, astrophysics, cosmology, accelerators, plasmas, microelectronics
Lightning Talk Title: Multiphysics and Multiscale Modeling with AMReX