Award Data

The additive manufacture of metal components from powder feedstocki.e. the net-shape, three-dimensional forming of a component, layer by layer, from a computer filehas gained popularity in the last nearly three decades, evolving from a method of rapid prototyping to rapid manufacturing. These methods are inherently far-from-equilibrium and present a significant, economical method to fabricate bulk ...

Sivananthan Laboratories, Inc. and the University of Illinois at Chicago (UIC) will collaborate to develop a Monte Carlo (MC) transport simulation package for devices based on III-V Type-II superlattice (T2SL) materials into a commercial offering suitable for device design and evaluation.UICs existing, research-grade, ensemble MC transport code is predictive of carrier transport in T2SL materials, ...

Through previous grant awards from IES, researchers developed Graspable Math, a tablet-based intervention where middle and high school students create and manipulate complex expressions for basic operations as well as equations and equations systems and inequalities. In this project, the team will develop a prototype of Graspable Math Activities, an app with novel kinds of algebra practice and ass ...

In this project, researchers will develop a prototype of Science Quest, a tool to assess the science skills and understanding for students in grades 1 to 3. The prototype will deliver psychometrically validated assessment items in a game-like format. Educators will be able to assign and monitor completion of science assessments, view assessment results in real-time with reports at the individual a ...

This Air Force Phase I STTR program would develop self-calibrating, conformal nanomembrane (NM) based pressure sensors for embedded sensing applications, using SOI (Silicon on Insulator) NM techniques in combination with our pioneering nanocomposite materials.Such low-modulus, conformal nanomembrane sensor skins with integrated self-calibration, interconnect elements and electronic devices that ca ...

Design analysis of parachute recovery systems has relied on a combination of core design principles, historical empirical data, and extensive testing for decades. Parachute motion involves complex phenomena involving porous bluff-body aerodynamics and highly deformable cloth. The proposed project is a plugin for the DoD CREATE-AV Kestrel simulation suite that will enable high-fidelity simulations ...

Previous research indicates the digital holography (DH) methods when combined with model-based iterative reconstruction can solve the challenging problems posed by the need to image through deep turbulence real time. In this Phase I STTR research, we propose to analyze and design a high-performance computing system and associated Deep-turbulence Estimator for Anisoplanatic Propogation (DEAP) algor ...

Phase I of this effort involves the creation of a comprehensive end-to-end model of a novel holographic polarimeter.The polarimeter that can be constructed based on our model will be able to determine the full polarization properties (Mueller matrix elements) of scattering, reflecting and absorbing media as a function of the materials depth.Unlike previous attempts, this system will be a real-time ...

This SBIR project will develop and demonstrate efficient electron emitter based on carbon nanotubecopper (CNT-Cu) composite for passive discharging of spacecraft in plasma environment. A spacecraft moving through harsh plasma environment collects electrons, which leads to the spacecraft charging up to several kilovolts. High voltage between different parts of the spacecraft can ignite arcing, whic ...

This SBIR Phase I project proposes a visual processing system for automated target recognition. Inspired by biological vision systems and hierarchical memory models, the proposed system is capable of learning hierarchical invariant features from unlabeled data that are independent of object labels. The model exploits these learned features to create hierarchical representations of target memories ...