Nonlinear & Complex Systems

How does a network of interacting genes produce viable cells? Why does flowing sand sometimes get jammed in a static state? How do networks of neurons in the brain process information? How can coupling many simple sensors produce a network that outperforms traditional approaches? What types of spatial and temporal patterns can arise in collections of many interacting elements? Questions like these require research into the subtle origins of familiar natural phenomena, which in turn reveals new possibilities for achieving functions in evolved or engineered systems. The challenge is to discover and characterize the collective behavior of complex systems, and to uncover the principles that connect the physics and logic of interactions between individual parts to the properties of the full system. This rapidly developing research area relies heavily on the concepts and language of nonlinear dynamics, and research in this area at Duke began in the 1980's when physicists, geophysicists, mathematicians, and engineers recognized that they shared a common language. Current efforts now extend also to collaborations with biologists and neuroscientists.

Experiments in these areas are typically carried out by individual students who have the opportunity to explore all aspects of a project, including design, construction, and data analysis. Theoretical progress relies on the adaptation and extension of principles of dynamical systems theory and statistical mechanics, distilling the crucial features of the system into models that can be studied analytically or using manageable numerical computations.

The Center for Nonlinear and Complex Systems (CNCS)

CNCS is an interdisciplinary University-wide organization that fosters research and teaching of nonlinear dynamics, chaos, pattern formation and complex nonlinear systems with many degrees of freedom. A number of physics faculty, post-docs and students actively participate in the Center. Other academic units with ties to the CNCS include the departments of Computer Science, Geology, and Mathematics, the Nicholas School of Environment and the Pratt School of Engineering. The CNCS sponsors a regular seminar series and a certificate program of study for graduate and advanced undergraduate students. Details may be found on the CNCS website.

Nonlinear & Complex Systems Faculty

  • Patrick Charbonneau

    Patrick Charbonneau

    Associate Professor of Chemistry
    Research Interest:
    In- and out-of-equilibrium dynamical properties of self-assembly. Important phenomena, such as colloidal microphase formation, protein aggregation
  • Henry Greenside

    Henry Greenside

    Professor of Physics, Professor in Neurobiology (Secondary), Faculty Network Member of the Duke Institute for Brain Sciences
    Research Interest:
    Theoretical neurobiology in collaboration with Dr. Richard Mooney's experimental group on birdsong; Theory and simulations of spatiotemporal patterns in fluids; synchronization and correlations in neuronal activity associated with bird song
  • Jian-Guo Liu

    Jian-Guo Liu

    Professor of Physics, Professor of Mathematics (Joint), Professor of Mathematics and Physics at Duke Kunshan University
    Research Interest:
    Applied mathematics, nonlinear dynamics, complex system, fluid dynamics, computational sciences
  • Joshua Socolar

    Joshua Socolar

    Professor of Physics
    Research Interest:
    Organization and function of complex dynamical networks, especially biological networks, including electronic circuits and social interaction networks; Theory of dynamics of complex networks; Modeling of gene regulatory networks; Structure formation in colloidal systems; Tiling theory and nonperiodic long-range order; Theory of dynamics of random networks with applications to gene regulation; stress patterns in granular materials; stabilization of periodic orbits in chaotic systems
  • Stephen W. Teitsworth

    Stephen W. Teitsworth

    Associate Professor of Physics
    Research Interest:
    Statistical, nonlinear, and condensed matter physics; experimental and theoretical stochastic non-linear dynamics in electronic transport systems.
  • Ying Wu

    Ying Wu

    Professor of Physics
    Research Interest:
    Nonlinear dynamics of charged particle beams, coherent radiation sources, and the development of novel accelerators and light sources