# Los Alamos National Laboratory

Delivering science and technology to protect our nation and promote world stability

# Computer, Computational, and Statistical Sciences

Computational physics, computer science, applied mathematics, statistics and the integration of large data streams are central to scientific discovery and innovation.

## Leadership

**Division Leader**- Frank J. Alexander (Acting)

**Deputy Division Leader**- Patrick Kelly (Acting)

## Overview

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

- Creating insight from heterogeneous data through advanced mathematics

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

- Providing statistical reasoning and rigor to multidisciplinary scientific investigations and the development, application, and communication of cutting-edge statistical sciences research

- Leading the way for scientific applications at extreme scale through co-design of algorithms, programming models, system software, and tools
- Exploring new programming models, data-intensive computing, data science at extreme scales, and application and algorithm co-design

Capabilities

Scientific activities are focused on:

- Computational multiphysics and numerical modeling
- Data-driven modeling and informatics
- Computer and computational science
- Computational co-design
- 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 (ACS-PO)
- Nuclear Non-proliferation and Security
- Laboratory Directed Research and Development (LDRD)
- Defense Advanced Research Projects Agency (DARPA)
- Defense Threat Reduction Agency (DTRA)

Research

#### Applied Computer Science

- Co-design
- Data science at scale
- Scientific visualization
- Programming models

#### Computational Physics

- High-fidelity 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 multi-scale, multi-physics methods

#### Information Sciences

- Computer science research in performance analysis and modeling of extreme-scale 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 socio-technical systems

#### Statistical Sciences

- Statistical reasoning
- Multidisciplinary scientific investigations
- Development, application, and communication of cutting-edge statistical sciences research