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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

Dynamics of Systems Far From Equilibrium
  • Applied mathematics methods for plasma physics
  • Space plasmas
  • Structural properties of materials
  • Fluid dynamics and turbulence
  • Soft matter
  • Active matter
  • Dynamical systems
Mechanistic Studies of Human Disease
  • Stochastic gene regulation
  • Biomolecular simulations
  • Disease modeling
  • Viral dynamics
Machine Learning Enhanced Modeling
  • Physics informed machine learning
  • Deep learning
  • Optimization theory
  • Applications to grids
  • Materials and Biology
  • Interference and Algorithms
  • Smart Grid applications
  • Complex Networks
  • Materials Informatics
Theory and Computation of Quantum Systems
  • Quantum information
  • Quantum many-body physics
  • Bose-Einstein condensates
  • Strongly correlated electron systems
  • Molecular physics
  • Non-adiabatic excited-state dynamics
  • Warm dense matter

Previous Focus Areas

Mechanistic Studies of Human Disease
  • Establish and maintain Atomistic modeling of biomolecules in aqueous and complex membrane environments.
  • Atomistic, coarse grained, and ultra coarse grained models of multiple biomolecular complexes at large scale.
  • Modeling Signaling Networks.
  • Mechanistic modeling of Viral Infections.
Optimization and Physics Inspired Machine Learning Approaches
  • The development of Machine Learning methods to study physical systems, with applications to atomistic materials models, nuclear fission, and geophysical systems.
  • The development of novel algorithms that exploit the structural properties of the mathematics embedded in optimization problems.

The Dynamics of Systems Far From Equilibrium
  • Turbulent and Compressible Flows
  • Modeling of Flows in the Subsurface and the Ocean
Theory and Computation on Quantum Systems
  • Quantum computation and quantum information theory
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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