1. Students and Educational Programs Fall 2011 Review Krzysztof Fidkowski

2. About our students Each UM, TAMU, SFU student on the CRASH project has a home department Current students from o Atmospheric, Oceanic and Space Sciences (UM) o Aerospace Engineering (UM) o Applied Physics (UM) o Computer Science (UM, TAMU) o Mathematics (UM) o Statistics (UM, TAMU, SFU) o Nuclear Engineering (UM, TAMU) Many CRASH students are co-advised

3. Funding and lab connections 39 students total have been supported directly or indirectly by CRASH o CRASH center funds  11 students at > 40% CRASH support o CRASH fellowship cost-sharing funds  21 students at < 40% CRASH funds o Non-CRASH fellowship or RA funds Strong connections to NNSA labs o Three students visited labs in 2011  Stripling (SNL), Till (LLNL), Fein (SNL) o Seven visited in 2010 o Several possibilities for visits to the labs in 2012 o Ongoing effort to encourage this and make connections

4. Students participate in a variety of research projects UQ o Unsteady adjoints for sensitivity analysis and error estimation o Bayesian and traditional regression methods for analysis of data from high-dimensional computational experiments o Advanced Bayesian predictive modeling o Bayesian analysis of experimental uncertainties Modeling and Theory o Discontinous Galerkin methods for hydrodynamics o Coupling methods for rad-hydro o Radtran and turbulence effects in blast waves o Time discretization methods for radtran Experiments o Structure in radiative shock experiments o Reverse radiative shocks o Hydrodynamic shock experiments

5. We recruit and retain high-quality graduate students Recruitment o Primarily left to individual departments o CRASH offers fellowships, project stability, and a unifying application o Nature of work attracts US citizens Retention o 87% student retention rate over the last three years o Regular interaction at student meetings o Lab visits offer unique learning experience opportunities o Nearly all investigators have lab contacts to help with placement

6. Center-university relationships Impact of center on university o Funding for students o Staff hires o New collaborations amongst investigators o Visibility for university University’s commitment to the center o Facilities o Endorsement of new courses and the scientific computing PhD certificate o Student support via other projects or instruction opportunities

7. UM scientific computing PhD certificate Requirements: o At least 24 credits in home department o At least 9 credits of numerical methods o At least 9 credits in computer science/applications o At least one doctoral prelim question related to scientific computing Several CRASH students pursuing the predictive science track of this certificate

8. CRASH investigators have taught two new courses Predictive Science course at TAMU o First offered Fall 2009, 9 students o Taught by Ryan McClarren o Covered verification, validation, sensitivity analysis and UQ o Next offering is Winter 2012 Uncertainty Quantification course at UM o First offered Winter 2010, 24 students o Team-taught by James Holloway, Vijay Nair, Ken Powell o Focused on input/output modeling, screening and sensitivity analysis, UQ o Next offering in Fall 2012

9. Course projects illustrate breadth of interest in predictive science and UQ UM MARS/MART analysis of drag in a Mars Re-entry system Gaussian process modeling and Markov-Chain Monte Carlo for turbulence model calibration UQ analysis of a Fischer- Tropsch synthesis process Constructing and sampling a response surface for radiative heat transfer in a scramjet UQ in military ground vehicle blastworthiness simulations TAMU Polynomial chaos techniques to o Compute the uncertainty in dose for a radiation shielding calculation. o Predict max temperature / flux in coupled neutronics heat conduction simulation. Sensitivity to coupling schemes in multiphysics problems. Predict the spectral radius of a transport solve using a Kennedy-O’Hagan model

10. Concluding remarks The center has recruited an retained a large number of students, many of whom have spent time at labs Center-university relationships are strong Predictive Science (TAMU) and UQ (UM) courses will be offered for the second time soon