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
Current 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
Previous Focus Areas