CRD Researchers to Present 18 Posters at ASCR Applied Math PI Meeting
September 11, 2017
Principal investigators for applied math projects are meeting this week in the Washington, D.C. to share research results and hold focused discussions on research areas. In all, researchers from Berkeley Lab will present 18 posters at the Sept. 11-12 2017 ASCR Applied Mathematics Principal Investigators Meeting.
Eight of the posters will be by presented by members of the Center for Computational Sciences and Engineering (CCSE), six by members of Mathematics Group/CAMERA, the Center for Advanced Mathematics for Energy Research Applications, two by staff from the Performance and Algorithms Research Group (PAR) and one by the Applied Numerical Algorithms Group (ANAG). Here’s the list:
- Ann Almgren, CCSE, “A Hybrid Adaptive Low‐Mach‐Number / Compressible Method for Solving the Navier‐Stokes Equations,”
- Ariful Azad, PAR, “Productive and extreme‐scale graph computation enabled by GraphBLAS,"
- John Bell, CCSE, “Low Mach Number Fluctuating Hydrodynamics for Electrolytes,”
- Aydin Buluç, PAR, “Energy‐efficient Data and Graph Algorithms Research),”
- Alexandre Chorin, Mathematics Group, “Data‐based Stochastic parametrization with applications,”
- Phil Colella, ANAG, “High Order Structured Grid and Particle Methods,”
- Marc Day, CCSE, “Combining Data and Simulation to Predict the Behavior of Complex Systems,”
- Jeffrey Donatelli, CAMERA, “New Mathematics for Next‐Generation X‐ray Imaging,”
- Alexander Hexemer, CAMERA, “Xi‐cam: A platform for CAMERA Algorithms,”
- Francois Hamon, CCSE, “Multilevel Parallel‐In‐Time Integration,”
- Lin Lin, Mathematics Group, “Numerical Methods for Ground and Excited State Electronic Structure Calculations,"
- Michael Minion, CCSE, “Space‐time Spectral Accuracy for the Navier‐Stokes Equations in Complex Geometries,”
- Juliane Mueller, CCSE, “Optimization of computationally expensive black‐box problems with hidden constraints,”
- Andy Nonaka, CCSE, “A conservative, thermodynamically consistent numerical approach for low Mach number combustion” and “Stochastic simulation of reaction‐diffusion systems: A fluctuating hydrodynamics approach,”
- Robert Saye, Mathematics Group, “Fluids, Structures and Interfaces Across Multiple Scales,”
- Jamie Sethian, CAMERA, “CAMERA: The Center for Advanced Mathematics for Energy Research Applications,”
- Matthew Zahr, Mathematics Group, “Adjoint‐Based Optimization, Uncertainty Quantification and Data Assimilation of Multiphysics Systems using High‐Order Numerical Discretizations.”
Also participating in the meeting are CRD Director David Brown, Applied Math Department Head Esmond Ng and Acting ANAG Lead Daniel Martin.
About Berkeley Lab
Founded in 1931 on the belief that the biggest scientific challenges are best addressed by teams, Lawrence Berkeley National Laboratory and its scientists have been recognized with 16 Nobel Prizes. Today, Berkeley Lab researchers develop sustainable energy and environmental solutions, create useful new materials, advance the frontiers of computing, and probe the mysteries of life, matter, and the universe. Scientists from around the world rely on the Lab’s facilities for their own discovery science. Berkeley Lab is a multiprogram national laboratory, managed by the University of California for the U.S. Department of Energy’s Office of Science.
DOE’s Office of Science is the single largest supporter of basic research in the physical sciences in the United States, and is working to address some of the most pressing challenges of our time. For more information, please visit energy.gov/science.