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The Computational Neuroscience program aims to extract the computational principles of real neural circuits and systems to create novel, more powerful algorithms for pattern recognition and control.

Dielectric Films for Capacitors is an Office of Naval Research program.

The goal of the Office of Naval Research's Undersea Signal Processing program is to develop signal processing algorithms that improve the Navy's ability to detect, identify and locate submarines in shallow and deep ocean environments.

ONR is joining the Bureau of Reclamation and U.S. Army Corps of Engineers to explore noise controls at the nation's hydroelectric power plants.

On Sept. 29, Dr. Michael Traweek answered questions about flow noise on Facebook and Twitter. See a transcript.

Naval assets, large and small, spend months to years at sea exposed to considerable biofouling pressures. The Office of Naval Research's Biofouling Control and Coatings Program sponsors research to develop antifouling/fouling release coatings and the mechanics underlying such materials.

The Office of Naval Research's Polymer Matrix Composites (PMC) program has invested significantly in developing new structural fibers with better thermo-oxidative resistance, new non-toxic resins systems and sandwich cores with enhanced resistance to fire and its propagation, new additives to improve PMC inter-laminar properties, and new resin infusion models and processing tools for improving product quality and lowering manufacturing costs.

The Office of Naval Research Computational Methods for Decision Making Applied Research Program is composed of three thrusts—Large-scale Distributed Decision-making, Automated Image Understanding and Resource Optimization.

The Office of Naval Research Computational Methods for Decision Making Applied Research Program is composed of three thrusts—Large-scale Distributed Decision-making, Automated Image Understanding and Resource Optimization.

The Office of Naval Research's Mathematical and Resource Optimization program supports basic research in optimization — focusing on the development of theory and algorithms for large-scale optimization problems.