Turbulence and Complex Systems

 

Group Members

Name
Research Interests
Contact Information

David Newman

  • Dynamics and Control of SOC Systems (Sandpiles, Power Transmission, Communications, Traffic, Plasmas)
  • Basic Plasma and Fluid Turbulence
  • The Interaction Between Sheared Flows and Turbulence
  • Modeling Transitions in Plasma Transport
  • Dynamics of Atomistic Flows in Carbon Nanotubes
  • Development of Higher Order Characteristic Measures of Dynamical Systems
  • Phone: (907) 474-7858
  • Fax: (907) 474-6130
  • Address
    • University of Alaska-Fairbanks
      Physics Department
      P.O. Box 755920
      Fairbanks, AK 99775-5920
      USA
  • Office Rm.: 112 Natural Science Facility

E-mail: [email protected]

  • Complex temporal and spatiotemporal dynamics
  • Modeling of biological systems
             neuron dynamics

             coupled oscillators

             circadian rhythms

             population dynamics
  • Stochastic dynamical systems
            Influence of noise/perturbations on nonlinear dynamical systems
  • Nonlinear time series analysis
  • Phone: (907) 474-6108
  • Fax: (907) 474-6130
  • Address
    • University of Alaska-Fairbanks
      Physics Department
      P.O. Box 755920
      Fairbanks, AK 99775-5920
      USA
  • Office Rm.: 106 Natural Science Facility

E-mail: [email protected]

Graduate Students

Debasmita Samaddar

Turbulence modeling and the Interaction Between Sheared Flows and Turbulence
  • Phone: (907) 474-1938
  • Fax: (907) 474-6130
  • Address
    • University of Alaska-Fairbanks
      Physics Department
      P.O. Box 755920
      Fairbanks, AK 99775-5920
      USA
  • Office Rm.: 111 Natural Science Facility
E-mail: [email protected]
Oralee Nudson
Agent Based Modeling of Complex Infrastructures
 
Seth Underwood
Dynamics of Flows in Nanotubes
 
Brian Wilson
   
     

Willis Ferenbaugh

  • Characteristic Measures of Dynamical Systems
  • Phone: (907) 474-1938
  • Fax: (907) 474-6130
  • Address
    • University of Alaska-Fairbanks
      Physics Department
      P.O. Box 755920
      Fairbanks, AK 99775-5920
      USA
  • Office Rm.: 111 Natural Science Facility
E-mail: [email protected]

Graduated Aug. 2004 and relocated to a land down under

Ryan Woodard

  • Dynamics of SOC Systems
  • Phone:
  • Fax:
  • Address
    • University of Alaska-Fairbanks
      Physics Department
      PO Box 755920
      Fairbanks, AK 99775-5920
      USA
  • Office Rm.: 111 Natural Science Facility

E-mail: [email protected]

Jon Klaas

  • Synchronization in Dynamical Systems (ie Biological systems)
  • Phone: (907) 474-1986
  • Fax: (907) 474-6130
  • Address
    • University of Alaska-Fairbanks
      Physics Department
      PO Box 755920
      Fairbanks, AK 99775-5920
      USA
  • Office Rm.: 105 Natural Science Facility

E-mail: [email protected]

Safia Rawoot

  • Transient Chaos in Multiple Topologies
  • Phone: (907) 474-1986
  • Fax: (907) 474-6130
  • Address
    • University of Alaska-Fairbanks
      Physics Department
      PO Box 755920
      Fairbanks, AK 99775-5920
      USA
  • Office Rm.: 105 Natural Science Facility

E-mail: [email protected]

     

Current or recent Undergraduate Students

Cheradan Fikstad

Power Systems Network
 

Now at Dartmouth (Grad. School in Physics)

John Broussard

  • Dynamics of transport models with noise
E-mail: [email protected]

Now at Univ. of Illinois (Grad. School in Physics)

Keiko Ino

  • SOC and diffusion
E-mail: [email protected]

Now at Dartmouth (Grad. School in Physics)

Sumire Kobayashi

  • Interaction between chaotic species
E-mail:

Visitors/Collaborators

Abel Bult
IAB-UAF
Uma Bhatt
IARC-Frontier at UAF
Ben Carreras
Pat Diamond
UCSD
Ian Dobson
UW-Madison, ECE
Mark Gilmore
UCLA
Carlos Hidalgo
Matt Hitchman
UW-Madison
Jean-Noel Leboeuf
UCLA
Kenneth Showalter
West Virginia University
Maria Varela
ORNL
Boudewijn Ph. van Milligen
Andrew Ware
Univ. of Montana

 

Former Students

Graduate Students

Erin Boyd
IBM
Ryan Woodard
New Zealand

Undergraduate Students

Keiko Ino
Univ. of Illinios (Grad. School in Physics)
Sumire Kobayashi
Dartmouth (Grad. School in Physics)
John Broussard
Dartmouth (Grad. School in Physics)
Aaron Boyd
Univ. of Colorodo - Boulder
David Benbennik
Cornell University (Grad. School in Math)
Andy Lester
Haiyin Chen (at ORNL)

 

 

Projects and Areas of Interest (more coming)

1) Dynamics and Control of SOC Systems (Sandpiles, Power Transmission, Communications, Traffic, Plasmas)

Motivated by the complicated dynamics observed in simulations and experiments of gradient driven turbulent transport, a simple paradigmatic transport model based on the ideas of self organized criticality (SOC) has been developed and investigated . In many cases a strong coupling exists between the turbulence and bulk flows in the system. If the bulk flows are uniform the turbulence imbedded in the flow is simply advected and the dynamics are usually not changed. Often however, such flows are spatially dependent (sheared) and therefore can have an impact on the dynamics of the system. SOC systems have been the focus of much investigation recently due to the broad relevance of many of the characteristics of these systems. For example, 1/f noise is a ubiquitous feature in many diverse physical systems from starlight flicker through river flows to stock market data. Additionally many of these systems (and others) exhibit a remarkable spatial and temporal self-similar structure. The physical and dynamical self-similarity that is exhibited by these systems is very robust to perturbations and is not necessarily close to any "linearly marginal" state such as the angle of repose for a sandpile. It is this self-similarity and non linear self organization that leads to the term "Self-Organized Criticality". In many systems (magnetically confined plasmas for example) the transport of constituents down their ambient gradient is thought to be dominated by turbulent transport. That is a turbulent relaxation of the gradient. The turbulence itself is often driven by the free-energy in the gradient . It is this combination of turbulent relaxation removing the source of free energy thereby turning off the turbulence which then allows the gradient to build back up which allows the development of robust (albeit fluctuating) profiles. The dynamics of such systems can be computationally investigated with a cellular automata model of a running sand pile. This model allows us to investigate the major dynamical scales and the effect of an applied sheared flow on these dominant scales. In addition to allowing the paradigmatic investigation of turbulent transport, the introduction of sheared flow (wind) and the determination of transport coefficients in sandpiles, both of which naturally arise in the context of magnetically confined plasmas, act as a novel and important extension to the chaotic dynamics of SOC systems.

Recent papers in this area (in PDF format)

Power systems (HICSS2001 Data analysis paper 1 , HICSS2001 Modeling paper 1 , HICSS2001 Modeling paper 2 , HICSS2002 modeling paper 1 , HICSS2002 modeling paper 2 )

Communications systems ( HICSS2002 Modeling paper 1)

Basic SOC systems

Plasmas

2) The Interaction Between Sheared Flows and Turbulence

 

3) Basic Plasma and Fluid Turbulence

Investigations of the basic dynamics of the turbulent systems can shed light on both interesting nonlinear dynamics and real systems.

4) Modeling Transitions in Plasma Transport

Transitions to enhanced confinement regimes are very important for the success of the fusion energy program.

5) Dynamics of Atomistic Flows in Carbon Nanotubes

In nature the interaction between fluid flows and surfaces and the resultant transport due to the flows is both ubiquitous and of fundamental importance. One of the flow regimes of particular interest is that in which the fluid transitions to a turbulent flow. In this case, the transport characteristics and flow dynamics change dramatically. In addition to an enormous amount of attention given to these systems, much progress has been made in recent years on modeling and understanding the dynamics of these continuous fluid flows (CFD) using the Navier-Stokes equations. However, with the ever-increasing interest in smaller size devices (for example, in MicroElectroMechanicalSystems - MEMS applications) an interesting new regime is encountered. This is the regime in which the distance between surfaces becomes comparable to the atomic or molecular sizes of the flowing material. While the highly "viscous" flow through irregular microporous materials has been extensively studied the basic underlying physics of the "fluid" dynamics of flows through "smooth" regular structures on this scale have yet to be characterized. In particular, the demonstration and characterization of transitions in flows on these scales will have a profound impact on the development of the new blossoming capabilities in building micro and nano scale devices and structured materials.

A relevant yet simple realization of such a flow is that given by atoms flowing through carbon nanotubes. Typically, in nano scale systems, the effective viscosity is expected to be high unless, perhaps, the flow "channel" is very regular and smooth such as that found inside a carbon nanotube, for example. Investigation of these "atomistic" flows is of interest for the obvious reason that one must understand how material flows in these nanotubes if one wishes to use them. More importantly the demonstration of new flow dynamics with transitions within the tube could lead to altogether new uses. In addition, basic understanding of flows on these scales may be of relevance in the extreme boundary layer of continuous (Navier-Stokes) flows and may help in the design of special coatings, for example, to decrease (or increase) drag. It should be stressed that the novel aspect of this is not simply the nanoscales in the system, but rather the interaction between the atomistic flow and the very regular surface created by the nanotubes etc. This research project, which is on the cutting edge of the burgeoning field of nanotechnology, can at the same time make fundamental contributions to the underlying basic physics.

 

6) The Effect of Noise on Propagation in Reaction-Diffusion Equations

7) Development of Higher Order Characteristic Measures of Dynamical Systems


Support from DOE under grants DE-FG03-99ER54551 and DE-FG03-00ER54599 (a young investigator award) and NSF under grant ECS-0085647 are gratefully acknowledged


 

Professional links of interest

Other links of interest


PDF file format

Many of the papers found on these pages are in pdf format. To find out more about pdf viewing or to get a free viewer for pdf documents see Adobes Acrobat Reader (for Macintosh(R), IBM AIX, Windows(R), Sun(TM) SPARC(R), HP/UX(TM), Silicon Graphics(R) and others) or Xpdf (for x86 - Linux 2.0 ELF , PowerPC - AIX 4.1 , SPARC - SunOS 4.1.3 , MIPS, Ultrix 4.4 , Alpha - OSF/1 3.2 , HP-PA, HP-UX 9.05 , and others).



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Last changed on 28 January, 2008 .

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