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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
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Mechanistic Studies of Human Disease
- Stochastic gene regulation
- Biomolecular simulations
- Disease modeling
- Viral dynamics
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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
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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
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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.
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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.
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The Dynamics of Systems Far From Equilibrium
- Turbulent and Compressible Flows
- Modeling of Flows in the Subsurface and the Ocean
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Theory and Computation on Quantum Systems
- Quantum computation and quantum information theory
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Multiscale Dynamics of Biological Systems
- Macromolecules - Dynamics at the Nano-Scale
- Cellular Dynamics and Function
- Cooperative Cellular Interactions
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Correlations and Dynamics in Information Science
- Sensing and Processing of Information
- Modeling and Analysis of Complex Systems
- Inference and Learning
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