140 likes | 252 Views
CRASH: Lab Interaction & Education Programs An Interdisciplinary PhD Program in Predictive Science. James Paul Holloway UM CRASH Team. Interactions. Research collaborations with NNSA scientists Over 110 papers with NNSA lab coauthors in last 10 years Place students at the labs
E N D
CRASH: Lab Interaction & Education ProgramsAn Interdisciplinary PhD Program in Predictive Science James Paul Holloway UM CRASH Team
Interactions • Research collaborations with NNSA scientists • Over 110 papers with NNSA lab coauthors in last 10 years • Place students at the labs • Pipeline of students to the labs • Over 25 to NNSA labs from CRASH investigators • Over 80 from UM Nuclear Engineering alone to NNSA labs
Education Program Overview • Our design based on two successful existing programs at Michigan • Program includes a “2+3” funding model and a core curriculum • Program also includes a lab stay during the student’s PhD studies • Goal of 16 students in the program in the fifth year • Michigan has committed 160K/yr in cost-sharing to this degree program • Expectation of involvement of a broad base of students doing predictive science, not just those in radiative hydrodynamics
A Model Existing Program - Applied Physics • Address quickening pace of development at the frontier between physics and engineering • Mechanism for interdisciplinary training and research not readily accommodated by traditional graduate programs • Solid base in fundamental physics, while exploring applications in various branches of engineering • Top-notch students recruited from undergraduate programs worldwide • Students awarded 2 years fellowship funding: • Coursework in core math and physics subjects • Advanced electives related to their area of specialization • Begin research
Another Model Existing Program - Scientific Computing • Any doctoral student at Michigan can add “and Scientific Computing” to their degree name • Doctoral thesis and doctoral committee composition must reflect an emphasis on scientific computing • Coursework must include • At least three computer science courses • At least three numerical methods courses • More than 60 PhDs from 10 departments have completed the program • 15 have received DoE computational science graduate fellowships • Many are working at government labs now
Scientific Computing (cont’d) • Where some students went and what they did • LLNL/CASC, computational fluid & plasma (Hittinger) • LANL, radiation hydrodynamics (Lowrie) • NCAR, climate modeling (Jablonowski) • LLNL/CASC, computational wave propagation (Gunney) • Case Western, tissue engineering (Shea) • LANL, geophysical fluid dynamics (Wingate) • LANL, radiation transport (Urbatsch, Wareing) • SNL, high-energy-density physics (Hanshaw)
New Predictive Science and Engineering PhD • Recruitment model of Applied Physics - recruit top students from undergraduate programs worldwide • Funding model of Applied Physics - two years internal funding while students get required background, after which students transition to a funded research group • Flexibility of Scientific Computing Program - students can receive their degree from any doctoral program at Michigan (their “home department”) • Lab stay requirement of Scientific Computing Program
New Predictive Science and Engineering PhD • Strong core curriculum tailored to predictive science • Software engineering • Parallel computing • Numerical methods and analysis • Probability and statistics • Capstone course in predictive science • Implement as a thread within the Scientific Computing PhD program
Capstone – Predictive Science & Engineering • Developed by CRASH investigators • Prerequisites: earlier core courses in software engineering, numerical analysis, probability and statistics • Course topics include • Code verification and validation • Uncertainty quantification in experiments and codes • Assessment of predictive capabilities of codes • Team project • Apply to student’s own research
Rollout of the Program • Initial students in program would be those associated with the Center for Radiative Shock Hydrodynamics • Initial home departments would include Aero, Space Sciences, Computer Science, Materials Science, and Nuclear Engineering • Substantial fraction of cost-sharing funds for the Center would be used to support the two-year fellowships • Ultimately expand the program to include other home departments and research groups
Milestones for the Program • AY 2008 - Develop and distribute materials to publicize program • AY 2009 - Recruit first cohort of at least 4 students into program, develop capstone course • AY 2010 - Recruit second cohort of at least 4 students into program, establish first offering of capstone course • AY 2011 - Recruit third cohort of at least 4 students into program, transition first cohort to research grants • AY 2012 - Recruit fourth cohort of at least 4 students into program, transition second cohort to research grants
Students as of Summer 2008 • 12 students, from four departments • Aerospace Engineering • Nuclear Engineering and Radiological Sciences • Atmospheric, Oceanic and Space Sciences • Applied Physics • Range from first-year to fourth-year doctoral candidates • Bi-weekly meetings to get exposed to scope of Center research • Have begun short course on Bayesian methods for predictive science, videocast from Texas A&M
Applied Physics (cont’d) • Core curriculum • E&M I&II • Quantum Mechanics I&II • Statistical Physics • Computational Math • Condensed Matter • Where some students went and what they did • Duke, nanomaterials (Stiff-Roberts) • NRL, semiconductors (Brown) • LBNL, radiation detection (Amman) • NIST, quantum physics (Cundiff) • Howard, lasers (Walton) • NASA Glenn, plasma science (Foster)