Martin’s research involves development of advanced methods for high fidelity analysis of nuclear reactors, with both Monte Carlo methods and deterministic methods. The methods utilize a high-dimensional phase space (7 independent variables) with large data structures that depend nonlinearly on the solution and are big enough to require domain decomposition. Hybrid techniques combining Monte Carlo and deterministic methods yield huge sparse matrices that require innovative storage and inversion algorithms.
Faculty
William R. Martin
Professor, Nuclear Engineering and Radiological Sciences
Affiliations: Michigan Energy Institute
Contact
[email protected]
Website
Research
Research Areas
Data; Statistics and Stochastic MethodsHigh Performance Computing
Numerical Analysis; Statistics and Stochastic Methods and Theories