Award Data

The proposed SBIR Phase I program is to develop a novel nanobulb flotation method with high efficiency and rare earth mineral recovery rate comparing to conventional methods. Significant efforts will focus on the studies of fundamental surface chemistry o

As infrared (IR) electo-optical sensors improve in both availability and quality a strong need exists to have comparable improvements in the performance of military obscurants within the IR band. Conventional approaches for creating effective IR obscurants have relied primarily on shaped metal particles with high aspect ratios (e.g. rods, flakes). While efficient it is difficult to create very ...

We propose to develop algorithms to improve debris management for electro-optical/infrared sensors (EO/IR) within C2BMC. Our goal is to improve fire control solutions, increase the quality of communicated sensor information, and reduce communication demands. We characterize the pre-intercept debris field mathematically by expressing the debris fields viewed on the sensor"s focal plane as 2D elli ...

The overall goal of this Phase I project is to show the feasibility of using state-of-the-art parameterization tools for shape changes (i.e., volumetric deformation/morphing provided by Sculptor) coupled with a fast FEA tool (i.e., the MAX method) to quickly calculate the dynamic response of the many different shapes necessary for sample-based stochastic vibration analysis of IBRs with blends. The ...

Under this STTR, Sentient Corporation, along with the Ohio State University GearLab as a research partner, will develop a probabilistic physics-based damage modeling tool for the simulation of superfinished gear components. This model will consider critical surface, material, and load parameters for components manufactured from common gear steels. The model will also analyze superfinished as well ...

Mathematical models of physical and biological systems contain parameters that need to be estimated from measured data. Models with parameters distributed probabilistically require the estimates of a probability measure over the set of admissible parameters. We propose to use frequentist-based approaches for non-parametrically estimating probability measures that describe the distribution of par ...

ABSTRACT: The chalcogenide based ion-conducting memristor has been shown to be an effective element as the core of a simple neuromorphic computing circuit. The response of the computing circuit is the result of weighted external stimuli, the current state of the device, and the history of exposure by the device to the stimuli. A highly specialized version of the device, as developed by the Advanc ...