Computer, Computational, and Statistical Sciences (CCS) Division
Computational physics, computer science, applied mathematics, statistics and the integration of large data streams are central to scientific discovery and innovation
Delivering numerical solutions, statistical reasoning, and visualization of scientific data
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The Computer, Computational, and Statistical Sciences (CCS) Division strengthens the visibility and impact of computer science and computational physics research for the strategic directions at the Laboratory.
Solving national problems through basic and applied research in key areas of
 Climate and Energy programs
 Basic science and technology research programs
 Threat reduction and Department of Homeland Security programs
 Nuclear weapons program
 Information science and technology
Expertise
 Computational Physics and Methods

 Performing innovative simulations of physics phenomena on tomorrow's scientific computing platforms

 Conducting research in numerical methods and algorithms, physical model development, and software engineering

 Creating numerical radiation transport methods to support the United States’ weapons program and produces packages for use in Advanced Strategic Computing codes
 Information Sciences

 Creating insight from heterogeneous data through advanced mathematics

 Developing methods and tools for understanding complex interactions and extracting actionable information from massive data streams
 Statistical Sciences

 Providing statistical reasoning and rigor to multidisciplinary scientific investigations and the development, application, and communication of cuttingedge statistical sciences research
 Applied Computer Science

 Leading the way for scientific applications at extreme scale through codesign of algorithms, programming models, system software, and tools
 Exploring new programming models, dataintensive computing, data science at extreme scales, and application and algorithm codesign
Capabilities
Scientific activities are focused on:
 Computational multiphysics and numerical modeling
 Datadriven modeling and informatics
 Computer and computational science
 Computational codesign
 Computational astrophysics
 Comprehensible and incomprehensible fluids and hydrodynamics in complex flows
 Data science at scale
 Information science and technology
 Computational biology and bioinformatics
 Statistical sciences
 Nuclear engineering and technology
 High energy density plasmas and warm dense matter
 Computational physics and applied math
 Data analysis and uncertainty quantification
Programs supported
 Basic Science and Energy Research
 DOE Defense Programs
 DOE Nuclear Energy
 DOE Office of Science
 Homeland Security Programs
 Advanced Simulation and Computing (ASC)
 Advanced Computing Solutions (ACSPO)
 Nuclear Nonproliferation and Security
 Laboratory Directed Research and Development (LDRD)
 Defense Advanced Research Projects Agency (DARPA)
 Defense Threat Reduction Agency (DTRA)
Research
Applied Computer Science
 Codesign
 Data science at scale
 Scientific visualization
 Programming models
Computational Physics
 Highfidelity techniques necessary to deliver verified and validated numerical solutions for important LANL programmatic simulation tools
 Modern software practices, including formal verification and validation and the use of rapid prototyping tools
 Numerical methods for advanced and emerging architecture
 Molecular Dynamics and numerical kinetic theory of plasmas
 Advanced multiscale, multiphysics methods
Information Sciences
 Computer science research in performance analysis and modeling of extremescale parallel systems and applications
 Pattern recognition and machine learning
 Knowledge systems and computational linguistics
 Computational biology
 Multilevel solvers
 Quantum computing
 Applied mathematics and computer science for scientific and engineering foundations of simulation for sociotechnical systems
Statistical Sciences
 Statistical reasoning
 Multidisciplinary scientific investigations
 Development, application, and communication of cuttingedge statistical sciences research