1. Computational Science and Engineering Linda Petzold Department of Mechanical and Environmental Engineering Department of Computer Science University of California Santa Barbara

2. Computational Science and Engineering UCSB Graduate Emphasis in CSE MS or PhD in traditional discipline, with specialization in CSE Mechanical and Environmental Engineering Computer Science Mathematics Chemical Engineering Electrical and Computer Engineering Core CSE courses (most cross-listed across all departments) Two quarters applied mathematics sequence Four quarters numerical computation sequence (students must take at least three quarters) One quarter parallel computation Overall load is the same as for students without the specialization

3. Computational Science and Engineering UCSB IGERT Program in CSE PhD program 3 years guaranteed support Departments: Chemical Engineering, Computer Science, Mathematics, Mechanical and Environmental Engineering Research: Students will work in interdisciplinary teams. Theses will be jointly supervised. –Complex Fluids –Computational Materials Science –Microscale Engineering Two new courses: –Atomic-Scale Computer Simulation Methods –Practical High-Performance Computing Internship – our industry/Laboratory partners include: Lawrence Livermore National Laboratory, Los Alamos National Laboratory, Sandia National Laboratories (Albuquerque and Livermore), Chevron/Texaco, Avery-Dennison, Air Products and Chemicals Career development workshop, guest speakers and visitors, some travel support

4. Computational Science and Engineering IGERT Focus Groups Complex Fluids (Ceniceros, Fredrickson, Garcia- Cervera, Leal, Homsy, Meiburg) Field-theoretic computer simulations Korteweg stresses in miscible fluid flows Liquid crystalline polymers in flow Dynamics of entangled polymers in flow Microscale Engineering (Mezic, Homsy, Leal, Meiburg, Petzold) Mixing in microchannels Multiscale problems in microfluidics Bubbles and bubble migration in microdevices Electrokinetic phenomena Computational Materials (McMeeking, Fredrickson) Ferroelectric ceramics Ceramic Composites Evolution of temperature distribution in thermal convection Micromixer

5. Computational Science and Engineering IGERT Enabling Technologies Computational and Applied Mathematics (Birnir, Ceniceros, Garcia-Cervera, Petzold) –Multiscale simulation methods for chemical kinetic systems –Stochastic partial differential equations –Homogenization –Sharp gradients and interface tracking –Computational analysis tools for multiscale systems Computer Science (Wolski, Yang, Petzold) –Semi-automatic generation of graphical user interfaces for scientific computing –Cluster computing and grid computing environments Expanding air bubble in a Hele-Shaw flow with surface tension JMPL Java Math Package Launcher Monitor and forecast performance of network and computational resources