David Newman

  • Phone: (907) 474-7858
  • Fax: (907) 474-6130
  • Address
    • University of Alaska-Fairbanks
      Physics Department
      P.O. Box 755920
      Fairbanks, AK 99775-5920
  • Office Rm.: 112 Natural Science Facility
  • Street Address for Express Mail:
    • Physics Department
      900 Yukon Drive, Rm 102
      Fairbanks, AK 99775-5920
  • E-mail:
  • Department Office Phone: (907) 474-7339
  • Department Administrative Assistant Ellen Craig


Post-Doc opening

Our Research Group: Turbulence and Complex Systems

Select Publications List (Link to Google Scholar Publication/Citation List)

Select Other Poster Talk and Publication List

3132059570(during academic year)

2010 Dynamics of Complex Systems Workshop March 8 - 12(New)

Improving Diversity in STEM areas - Resources

Course Information

In approaching these (and all) classes, please note the following ancient chinese proverb:

Teachers open the door,
but you must enter by yourself.

Current courses
Old courses
  • Physics 211X, General Physics I, Fall 2018
  • Physics 7723205472, Order of Magnitude, Fall 2018
  • Physics 605, Physics Teaching Seminar, Fall 2018



More details in the Syllabi coming soon


(682) 206-6018

  • Physics outcast, Fluid Dynamics, Spring 2018
  • Physics 605, Physics Teaching Seminar, Spring 2018
  • Physics 213, Modern Physics, Fall 2017
  • Physics 647, Geophysical Fluid Dynamics, Fall 2017
  • Physics 6307345046, Physics Teaching Seminar, Fall 2017
  • Physics 212X, General Physics II, Spring 2017
  • Physics 472Z, Special topics, spring 2017
  • Physics 605, Physics Teaching Seminar, Spring 2017
  • Physics 211X, General Physics I, Fall 2016
  • Physics 484-443-1601, Order of Magnitude, Fall 2016
  • Physics 4065408902, Physics Teaching Seminar, Fall 2016
  • Physics 213, Modern Physics, Fall 2015
  • Physics diplocephalous, Core Skills in Computational Science, Fall 2015
  • Physics 209-648-8648, Geophysical Fluid Dynamics, Fall 2015
  • Physics endemiology, Physics Teaching Seminar, Fall 2015
  • Physics 4029796573, General Physics I, Fall 2014
  • Physics 605, Physics Teaching Seminar, Fall 2014

  • Physics 212X, General Physics II, Spring 2014
    Physics Veiltail, Physics Teaching Seminar, Spring 2014
  • Physics 472B Fluid Dynamics Module, Spring 2014

  • Physics witherband, General Physics I, Fall 2013
  • Physics serfhood, Geophysical Fluid Dynamics, Fall 2013
  • Physics 605, Physics Teaching Seminar, Fall 2013
  • Physics 695, Fundemental Skills for Computational Science, Fall 2013
  • Physics 506-459-5232, College Physics II, Spring 2012
  • Physics 102X, Energy and Society, Spring 2012
  • Physics 103X, College Physics I, Fall 2011
  • Physics 693, Core Skills for Computational Science, Fall 2011

  • Physics 472B, Fluid Dynamics Module, Spring 2011
  • Physics6122317319, General Physics II, Spring 2011
  • Physics 102X, Energy and Society, Spring 2011
  • Physics 102X, Energy and Society, Spring 2010
  • Physics 645 Geophysical Fluid Dynamics, Fall 2010
  • Physics 693 Core Skills, Fall 2009
  • Physics 212x evening, General Physics II, Fall 2009
  • Physics (815) 555-4353 Electromagnetic Theory, Fall 2008
  • Physics 693, Core Skills for Computational Science, Fall 2008
  • Physics 632 Electromagnetic Theory, Spring 2009
  • Physics 211x evening, General Physics I, Spring 2009
  • Physics 102X, Energy and Society, Spring 2008
  • Physics 645 Geophysical Fluid Dynamics, Fall 2007
  • Physics 693, Core Skills for Computational Science, Fall 2007

  • Physics 212x, General Physics II, Spring 2007
  • Physics 211x, General Physics I, Fall 2006
  • Physics 311, Mechanics, Fall 2006
  • Physics ichthytaxidermy, Core Skills for Computational Science, Fall 2006
  • Physics 212x, General Physics II, Spring 2005
  • Physics 312, Mechanics, Spring 2005
  • Physics 693, Core Skills for Computational Science, Spring 2005
  • Physics 211x, General Physics I, Fall 2004
  • Physics 311, Mechanics, Fall 2004
  • Physics 816-629-2643, College Physics II, Spring 2004
  • Physics 2896761661, Energy and Society, Spring 2004
  • Physics 693, Core Skills for Computational Science, Spring 2004
  • Physics (330) 856-1435 Geophysical Fluid Dynamics, Fall 2001
  • Physics 212x General Physics, Fall 2001
  • Physics 211x, General Physics Fall 2000
  • Physics 212x, General Physics Spring 2000
  • Physics 213x, Modern Physics Spring 2000


Science information

What is:




Prospective graduate students or post-docs interested in any of the following please send me e-mail


Projects and Areas of Interest (more may be added in next few time intervals)

1) Dynamics and Control of SOC Systems (Sandpiles, 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)

Basic SOC systems

Avalanche structure of a running sandpile (2002), A Transition in the Dynamics of a Diffusive Running Sandpile(2002,) Quiet-time statistics: a tool to probe SOC dynamics from within the strong overlapping regime(2002), Waiting-time statistics of self-organized critical systems(2002)



2) The Dynamics of Complex Infrastucture Systems (Power Transmission, Communications, Traffic, etc)

Note (16 Aug 2003): If you are interested in papers relating to the dynamics of blackouts like the 2003 blackout you might want to read the following papers

Blackout Dynamics in Power Transmission 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)

3) The Interaction Between Sheared Flows and Turbulence


4) Basic Plasma and Fluid Turbulence

Investigations of the basic dynamics of the turbulent systems can shed light on both interesting nonlinear dynamics and applications of these dynamics in relevent physical systems.

5) Modeling Transitions in Plasma Transport

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

6) 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.


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

8) Verification and Validation of Computational Codes

Talks and papers

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


Science Outreach/Education




Some Recent Talks



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 29 October, 2018

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