Professional Experience

Jamie Bramwell is a simulation software project leader working primarily on Smith, a next-gen finite element simulation toolkit supporting applications throughout the Engineering directorate. After receiving her Ph.D. in Computational Science, Engineering, and Mathematics from the University of Texas at Austin, she joined LLNL in 2013 as a computational engineer with a specialty in advanced finite element methods. She began her career as an integrated code developer on ALE3D, a large-scale multi-physics simulation code supporting WCI. She was the primary developer for the implicit solid mechanics physics package, including modern structural element capabilities to support complex mission analysis efforts in NIF and modernizing infrastructure for numerical solver libraries.

In 2017, she joined the MFEM finite element library team as an engineering application specialist. This included developing a new cardiac mechanics simulation tool and experimental mini applications for user tutorials and examples. In 2020 she started the Smith project, a modular software development kit based on MFEM to enable agile development of GPU-ready and sensitivity-enabled high-fidelity engineering-scale simulations.

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Research Interests

Current areas of interest include integrated multi-physics production code development, sensitivity-enabled simulation, automatic differentiation, high order finite element methods, nonlinear solid mechanics, and modern object-oriented high-performance computing.

PhD, Computational Science, Engineering, and Mathematics, University of Texas at Austin, 2013

MS, Computational and Applied Mathematics, University of Texas at Austin, 2011

BS, Mechanical Engineering, Northwestern University, 2006

Anderson, Robert, et al. "MFEM: A Modular Finite Element Methods Library." Computers & Mathematics with Applications, vol. 81, Jan. 2021, pp. 42-74. ScienceDirect, doi:10.1016/j.camwa.2020.06.009.

Bramwell, Jamie A., et al. SERAC. Computer Software. https://github.com/LLNL/serac. USDOE National Nuclear Security Administration (NNSA). 21 Oct. 2019. Web. doi:10.11578/dc.20200303.2.

Karlin, Ian, et al. "Preparation and Optimization of a Diverse Workload for a Large-Scale Heterogeneous System." Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, Association for Computing Machinery, 2019, pp. 1-17. ACM Digital Library, doi:10.1145/3295500.3356192.

Noble, Charles R., et al. ALE3D: An Arbitrary Lagrangian-Eulerian Multi-Physics Code. United States: N. p., 2017. Web. doi:10.2172/1361589.

Bramwell, Jamie A. A Discontinuous Petrov-Galerkin Method for Seismic Tomography Problems (doctoral thesis). May 2013. repositories.lib.utexas.edu.

Bramwell, Jamie, et al. "A Locking-Free hp-DPG Method for Linear Elasticity with Symmetric Stresses." Numerische Mathematik, vol. 122, no. 4, Dec. 2012, pp. 671-707. Springer Link, doi:10.1007/s00211-012-0476-6.

Niemi, Antti H., et al. "Discontinuous Petrov-Galerkin Method with Optimal Test Functions for Thin-Body Problems in Solid Mechanics." Computer Methods in Applied Mechanics and Engineering, vol. 200, no. 9, Feb. 2011, pp. 1291-300. ScienceDirect, doi:10.1016/j.cma.2010.10.018.