 


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 missioncritical 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 manybody physics
 BoseEinstein condensates
 Strongly correlated electron systems
 Molecular physics
 Nonadiabatic excitedstate 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

Multiscale Dynamics of Biological Systems
 Macromolecules  Dynamics at the NanoScale
 Cellular Dynamics and Function
 Cooperative Cellular Interactions

Correlations and Dynamics in Information Science
 Sensing and Processing of Information
 Modeling and Analysis of Complex Systems
 Inference and Learning

