Students and Educational Programs

Fall 2011 Review

Krzysztof Fidkowski

About our students

Each UM, TAMU, SFU student on the CRASH project has a home department

Current students fromo 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

Funding and lab connections

39 students total have been supported directly or indirectly by CRASHo CRASH center funds

11 students at > 40% CRASH supporto CRASH fellowship cost-sharing funds

21 students at < 40% CRASH fundso Non-CRASH fellowship or RA funds

Strong connections to NNSA labso Three students visited labs in 2011

Stripling (SNL), Till (LLNL), Fein (SNL)o Seven visited in 2010o Several possibilities for visits to the labs in 2012o Ongoing effort to encourage this and make connections

Students participate in a variety of research projects

UQo Unsteady adjoints for sensitivity analysis and error estimationo Bayesian and traditional regression methods for analysis of data

from high-dimensional computational experimentso Advanced Bayesian predictive modelingo Bayesian analysis of experimental uncertainties

Modeling and Theoryo Discontinous Galerkin methods for hydrodynamicso Coupling methods for rad-hydroo Radtran and turbulence effects in blast waveso Time discretization methods for radtran

Experimentso Structure in radiative shock experimentso Reverse radiative shockso Hydrodynamic shock experiments

We recruit and retain high-quality graduate students

Recruitmento Primarily left to individual departmentso CRASH offers fellowships, project stability, and a unifying

applicationo Nature of work attracts US citizens

Retentiono 87% student retention rate over the last three yearso Regular interaction at student meetings o Lab visits offer unique learning experience opportunitieso Nearly all investigators have lab contacts to help with placement

Center-university relationships

Impact of center on universityo Funding for studentso Staff hireso New collaborations amongst investigatorso Visibility for university

University’s commitment to the centero Facilitieso Endorsement of new courses and the scientific computing PhD

certificateo Student support via other projects or instruction opportunities

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

CRASH investigators have taught two new courses

Predictive Science course at TAMUo First offered Fall 2009, 9 studentso Taught by Ryan McClarreno Covered verification, validation, sensitivity analysis and UQo Next offering is Winter 2012

Uncertainty Quantification course at UMo First offered Winter 2010, 24 studentso Team-taught by James Holloway, Vijay Nair, Ken Powello Focused on input/output modeling, screening and sensitivity

analysis, UQo Next offering in Fall 2012

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

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