 


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
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
