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 CNLS Research

The primary activity of the Center is conduct and support basic scientific research in nonlinear and complex systems phenomena and promote their use in applied research programs.

CNLS chooses a small number (two to three) focus topics periodically and directs a major portion of its research capabilities into these strategically important areas. The focus areas are determined by the Executive Committee, and they are chosen by taking into consideration both the Laboratory's needs for basic science relevant to mission-critical programs and the need to stay abreast of emerging and potentially important developments in complex systems research.

Current Focus Areas

Multi-scale Modeling Multi-Scale Modeling of Strongy Coupled Systems
  • Strength of materials
  • Fluid Turbulence and Mixing
  • Macroscopic quatum systems
  • Mathematical physics of multiscale problems
Networks Statistical Physics of Networks, Information and Complex Systems
  • Neural computation
  • Network theory
  • Information theory
Bio Complex Biological and Bio-inspired Systems
  • Simulations of biochemical reaction kinetics
  • Nano-Tubes
  • Self-assembled thin films
  • Bio-Polymers
  • Quantum Chemistry

Previous Focus Areas

Nonlinear Behavior Nonlinear Behavior in Complex Systems
  • Solitons
  • Patterns and nonlinear dynamics
  • Excitations in condensed matter materials
  • Nature of mathematical equations
Soft Matter Cooperative Phenomena in Soft Matter
  • Energy landscapes in macromolecules
  • Colloids, vesicles and membranes
  • Dynamics of granular materials
  • Statistical hydrodynamics
Complex Networks Dynamics of Complex Networks: Biology, Information and Security
  • Biological networks
  • Social networks
  • Network theory

Exploratory Research Directions

Historically, CNLS played an important role in developing and supporting emerging scientific directions that later become major research areas. Examples include the turbulence theory and simulation, Lattice-Boltzmann method, computational materials science, nonlinear waves and solitons, theoretical immunology, HIV epidemiology, uncertainty quantification in complex systems, and complex networks.

Our current exploratory directions are:

  • Computational molecular biology
  • Agent-based systems and modeling
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