Award Data

The goal this work is to use AI to interpret the THz and sub-THz responses at the pins to the defects and deviations from design of the integrated circuits under test. The key application is work is identifying hardware security treats using artificial intelligence (AI) for cyber security applications. Our approach will provide a rapid, inexpensive, and non-destructive technology address this prob ...

Our product solution is a quantum algorithm-based electromagnetic modeling and simulation software package to run on classical computers and quantum simulators and computers.

Transfer learning AI approaches shall be used to customize EEG BCI models to users for monitoring vigilance decrement and task disengagement in realistic use-cases seen by UAS operators and trainees.

Hazard assessment tools that model the transport and dispersion of Chemical, Biological, Radiological, Nuclear and Explosive (CBRNE) materials through urban areas are only as good as the 3D models that inform the physics model. Maintaining accurate, up-to-date 3D models of urban areas is challenging. Even in the commercial world, urban construction and demolition may result in the models created a ...

TrueNano, Inc. will in collaboration with the University of Colorado and industry partners, produce a novel single wafer, high throughput, cold wall Hot Filament CVD (HF-CVD) reactor prototype for the growth of high-quality silicon carbide (SiC) epitaxial layers, suitable for the next generation of power electronic devices and systems. This includes the design and simulation of the reactor chamber ...

Our Phase I effort showed that spectrum compression could be successfully achieved via Wavelet Transform (WT) based Fatigue Spectrum Editing (FSE) techniques for uniaxial HCF spectra cases. For example, 85% reduction in spectrum length can be achieved in the case of the original FELIX spectrum. However, the extension of the same FSE technique to multi-axial HCF cases showed less desirable results ...

This DOD Phase II STTR program would develop self-calibrating, conformal nanomembrane based pressure sensors for embedded sensing applications, using silicon on insulator techniques in combination with our pioneering nanocomposite materials. Such low-modulus, conformal nanomembrane sensor skins with integrated self-calibration, interconnect elements and electronic devices can be applied to new or ...

Physically uncloneable functions (PUFs) have the potential to revolutionize cybersecurity by forming the basis for next-generation secure networks and trusted computing environments. During Phase I, Potomac Research and OSU evaluated of three physically uncloneable function (PUF) designs that can be implemented on COTS FPGAs. One design based on hybrid Boolean networks (HBN-PUFs) emerged as the cl ...

There is a military and industry need for easy-to-use, versatile alloys for metals additive manufacturing (3D printing) that print consistently regardless of the specific process or machine and without requiring in-depth metallurgical or manufacturing knowledge. Such capability is critical for soldiers to be able to make needed items on demand in the theater of war. In addition, the alloy will be ...

In order to travel faster, travel longer, and carry larger payloads, new Navy ships are being designed with light weight alloys and composite materials. High magnesium AA5xxx series alloys provide a high strength to weight ratio and excellent corrosion resistance, but suffer from sensitization as anodic ß precipitates (Al¬3Mg2) are form along grain boundaries due to a combination of elevated tem ...