Developing computational methods to address critical challenges in energy security, fusion science, space plasma, optimization, hydrogeology, and computational imaging, leveraging expertise in state-of-the-art computational methods, high-performance computing, optimization and control, network science, and machine learning.
Applied Mathematics and Plasma Physics
Maintaining mathematics, theory, modeling, and simulation capabilities in a broad set of areas
We conduct research across a wide variety of topics, including:
- applied mathematics
- numerical methods
- fusion science
- space plasma science
- optimization and control
- computational imaging
- modeling of critical energy infrastructure
These application areas are tied together by research in novel algorithms, numerical methods, artificial intelligence, and machine learning.
Capabilities
- Mathematics and physics analysis of large data sets
- Problems in the information, science, and technology portfolio
- Computational neuroscience
- Computational biology and biophysics
- Network analysis
- Mathematical modeling applied to emergent Threat Reduction and Energy Security problems
- Plasma physics applied to emergent Energy Security problems
- Software engineering
- Algorithm development for scalable scientific computing on novel parallel architecture
- Machine Learning with emphasis on physics-informed, structure-preserving solutions
Software
Amanzi