Name: Dan Martin
Pronouns: he/him/his
Biography:
Dan Martin is a computational scientist and group leader for the Applied Numerical Algorithms Group at the Lawrence Berkeley National Laboratory. His research involves development of algorithms and software for solving systems of PDEs using adaptive mesh refinement (AMR) finite volume schemes, high (4th)-order finite volume schemes for conservation laws on mapped meshes, and Chombo development and support. Current applications of interest are developing the BISICLES AMR ice sheet model as a part of the SCIDAC-funded ProSPect application partnership, and some development work related to the COGENT gyrokinetic modeling code, which is being developed in partnership with Lawrence Livermore National Laboratory as a part of the Edge Simulation Laboratory (ESL) collaboration. Dan joined ANAG and LBL as a post-doc in 1998. He has published in a broad range of application areas including projection methods for incompressible flow, adaptive methods for MHD, phase-field dynamics in materials, and ice sheet modeling. Since April 2020, Dan has also served as the area lead for Earth and Space Science Application Development in the DOE Exascale Computing Project.
Institution/Lab: Lawrence Berkeley National Laboratory
Website: https://crd.lbl.gov/martin
SRP Collaboration Topic/Title: Tokamak modeling
Field or research area: Numerical modeling
Please select all the topical areas that apply to your project:
Computational Science Applications (i.e., bioscience, cosmology, chemistry, environmental science, nanotechnology, climate, etc.)
Brief Abstract:
When finally harnessed, nuclear fusion holds the promise of almost limitless energy. We are partners in a project to better understand turbulence in tokamaks, a form of fusion reactor by improving existing models. Project ideas include improving numerics and performance of the model, adding additional physics to the model, and simulation-based projects to understand specific scenarios.
Desired relevant skills, background, or interests:
Specific background depends on the specific project focus, but generally: applied mathematics, software development (C++, python), physics, climate science, etc.
Other comments:
This is a placeholder for a range of project ideas under a range of applications. We can come up with specific projects based on your skills and interests.
Do any special requirements apply? Permanent Resident OK; International OK
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Keywords:
Numerical modeling, algorithms, parallel computing, tokamak modeling
Lightning Talk Title: Tokamak modeling