About Center for Quantum Science

Website: http://quantum.gmu.edu/

Faculty: Yuri MishinPredrag NikolicKaren SauerIndubala SatijaMing TianKrishnamurthy VemuruErhai Zhao

The Center for Quantum Science at George Mason University gathers researchers from the School of Physics, Astronomy and Computational Sciences whose interests span condensed matter, atomic, molecular and optical physics. The main purpose of the Center is to stimulate the research productivity, interaction and collaboration among its members, create a collective mentoring environment for young researchers, and popularize its research areas to students and the public.

Research at the Center is funded by the National Science Foundation, Office of Navy Research, National Institute of Standards and Technology, Department of Energy, and the Air Force Office of Scientific Research.

Specific research areas include (but are not limited to):

condensed matter physics

superconductivity, quantum magnetism, topological insulators
quantum phase transitions and critical points
quantum field theory of interacting electrons
atomistic modeling and simulation of materials

atomic, molecular and optical physics

ultra-cold atoms, superfluidity, unitarity
optical lattices, quantum simulation, artificial gauge fields
magnetic resonance for materials characterization or for substance detection
quantum magnetometers
laser atomic spectroscopy, nonlinear and quantum optics

inter-disciplinary and applied physics

rare-earth based solid state quantum memory and quantum computation
quantum transport in spintronic and nano-electronic devices
non-linear dynamics

 

The Director …

About the Center for Computational Fluid Dynamics

Faculty

Rainald Löhner, Director
Chi Yang
Juan Raúl Cebral
Fernando Camelli

website

What is Computational Fluid Dynamics (CFD)?

CFD is the systematic application of computing systems and computational solution techniques to mathematical models formulated to describe and simulate fluid dynamic phenomena.

CFD is part of computational mechanics, which in turn is part of simulation techniques. Simulation is used by engineers and physicists to forecast or reconstruct the behaviour of an engineering product or physical situation under assumed or measured boundary conditions (geometry, initial states, loads, etc.). A variety of reasons can be cited for the increased importance simulation techniques have achieved in recent years:

Need to forecast performance
Cost and/or impossibility of experiments
The desire for increased insight
Advances in computer speed and memory (1:10 every 5 years)
Advances in solution algorithms

The simulation of flows is accomplished by:

Solving numerically partial differential equations (PDEs),
Following the interaction of a large numbers of particles, or
A combination of both.

CFD, by its very nature, encompasses a variety of disciplines, which may be enumerated in the following order of importance:

Engineering
Physics
Mathematics (classic and numerical analysis, discrete mathematics)
Computer Science (algorithms, coding, software)
Visualization Techniques
User Community (benchmarking, documentation, teaching)


About Center for Neural Dynamics

Website: http://complex.gmu.edu/neural

Faculty

Ernest Barreto

Rob Cressman

Paul So

The Center for Neural Dynamics is a multidisciplinary research group developing and utilizing advances in experimental nonlinear physics and mathematical techniques in dynamical systems theory to address questions at the forefront of neurobiology. We are specifically interested in the emergence of collective behavior across the various scales of neuronal organization, from individual neurons to small ensembles, up through the entire brain. In particular, we seek to understand the dynamical linkage among individual neurons or ensembles at a particular scale as well as the linkages between scales.

About Astrophysics Research

The primary objective of astrophysics is to elucidate the nature of the myriad objects that inhabit the cosmos, including stars, planets, galaxies, and the universe as a whole. We aim to understand the structure of these objects as well as how they form and develop over time.

Computational Materials Science Center

Website: http://cmasc.gmu.edu/

Faculty: Estella Blaisten-BarojasDimitrios A. PapaconstantopoulosHoward ShengErhai Zhao

Researchers in the Computational Materials Science Center focus on the discovery, interpretation, simulation, and organization of the microscopic interactions between atoms and molecules in condensed phases of materials including biomaterials. The ability to predict materials properties is a fundamental requirement of technological advances and economic competitiveness.

The goal of the Computational Materials Science Center (CMaSC) is to develop new capabilities for simulation of materials using innovative algorithmic methods for high performance computing. A key component of our industrial development is the ability to invent and design novel materials. Materials research and materials processing cut across almost every sector of worldwide industry, from microelectronics to polymers, from pharmaceuticals to gels, from smart materials such as thermoelectrics to nano-structures, from metals to ceramics, from magnetic clusters to applications in the recording industry.

More specifically, the CMaSC is aimed at the development of the next generation of atomistic and quantum mechanical modeling tools for material simulation.

About Particle and Nuclear Physics

Particle physics is the study of the basic elements of matter and the forces and symmetries that govern their interactions. It aims to determine the fundamental laws that control the make-up of matter and the physical universe.

About Computational Statistics Group

Computational Statistics embraces the areas of specialization within statistics that involve analysis of very large datasets, stochastic modeling, statistical visualization, and other computationally-intensive methods of statistics.