In February 2018 Dr. Tokareva joined Los Alamos National Laboratory as a postdoctoral research associate in the Applied Mathematics and Plasma Physics Group (T-5), working on novel high order Lagrangian methods for multiphase and multi-material flows as well as applications of machine learning algorithms in computational fluid dynamics. In November 2019, she became a staff scientist in the T-5 group.
Her research focuses on the development of novel highly accurate computational methods for advection-diffusion partial differential equations, and their applications in computational geosciences, plasma physics, multiscale material modeling, as well as adaptive uncertainty quantification methods and model reduction.
Expertise
- High-order numerical methods (Discontinuous Galerkin, finite volume, ENO/WENO, finite element, residual distribution)
- Computational fluid dynamics
- Lagrangian hydrodynamics
- Multiphase flows
- Multi-material flows
- Uncertainty quantification methods
- Machine learning
- Model reduction