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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 (three to four) 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

Multiscale Modeling of Biological Systems
  • Establish and maintain the expertise in computer simulations of membrane-associated biological systems
  • Develop new methods to study membrane bound systems to help elucidate the role of lipids in regulating and modifying protein function
Optimization and Physics Inspired Machine Learning Approaches
  • Optimization and control of power and infrastructure systems
  • Automated model reduction and coarsening
  • Learning macro-scale models that capture relevant physics of micro-scale simulations

The Dynamics of Systems Far From Equilibrium
  • Turbulent and Compressible Flows
  • Modeling of Flows in the Subsurface and the Ocean
  • Wave-particle Interactions in the Near-Earth Environment
  • Mechanical Deformations at the Mesoscale
Theory and Computation on Quantum Systems
  • Studies of topological order in strongly correlated systems
  • Quantum computation and quantum information theory
  • Modeling Electronic Excited states
  • Machine learning tools to learn quantum properties of matter

Previous Focus Areas

Bio Multiscale Dynamics of Biological Systems
  • Macromolecules - Dynamics at the Nano-Scale
  • Cellular Dynamics and Function
  • Cooperative Cellular Interactions
Information Correlations and Dynamics in Information Science
  • Sensing and Processing of Information
  • Modeling and Analysis of Complex Systems
  • Inference and Learning

Equilibrium Bridging Equilibrium and Non-Equilibrium Statistical Physics
  • Self-Organized Structure
  • Quenched Disorder
Quantum Quantum Science: From Information to Materials
  • Quantum information
  • Atomic-Molecular-Optical Physics
  • Quantum Materials
Multi-scale Modeling Multiscale Modeling of Strongly Coupled Systems
  • Strength of materials
  • Fluid Turbulence and Mixing
  • Macroscopic quantum 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
New and Enhanced Capabilities in Quantum Information Processing
  • Quantum Computing
  • Quantum Cryptography
  • Quantum Sensing
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
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