Award Data

Modern Model-Based Enterprise / Engineering (MBE) systems rely on freeform surfaces built as complex combinations of geometric primitives to define engineered objects. Unfortunately, the intersection of freeform surfaces in MBE applications results in highly approximated solutions, degrading models that cost billions annually by US industry to fix. Current technology limits the abilities of users ...

In this Phase I SBIR proposal, SandBox Semiconductor™ proposes to develop an Advanced Manufacturing and Material Measurements software tool called Weave ™ for accelerating and automating SEM image analysis for the semiconductor industry. During the development of a new manufacturing process line for a semiconductor device, tens of thousands of scanning electron microscopy (SEM) images are take ...

This project will develop a new scientific instrument optimized for the advanced characterization of near-infrared fluorescent nanoparticles that can exist as left- or right-handed structures (enantiomers). Single-walled carbon nanotubes (SWCNTs) are the leading current example of such nanomaterials. Applied NanoFluorescence, LLC (ANF) proposes a novel multi-mode chiroptical spectrometer that can ...

Nanohmics proposes to develop a chip-scale inertial measurement unit (IMU) for munitions applications. The miniaturization is key to extreme-G survivability and operation. Models and simulations will provide primary support for the feasibility and a hardware demonstration will provide additional proof-of-concept and improve the program risk assessment prior to a Phase II program.

The development of a guided hypervelocity projectile (HVP) must surmount a number of significant technical challenges. Texas Research Institute Austin (TRI Austin) proposes to address leading edge/control surface challenges, sabot design, and the sub-projectile issues through the selection of materials, material processes, and component manufacturing methods. TRI Austin has assembled a team of tec ...

Homomorphic Encryption (HE) allows for training and deployment of neural networks on encrypted data. Furthermore, HE allows for encryption of neural network model parameters such as weights. Thus, HE provides robustness against both black-box and white-box attacks. In the emerging cloud-based AI environments with edge computing nodes, HE enables privacy-preserving training and deployment of neural ...

We propose a quantum adversarial machine learning (QAML) approach that combines ideas from different classical AML techniques such as Defense-GAN and thermometer-encoding of inputs. We propose an implementation of Defense-GAN on the D-Wave Leap quantum computing environment. We also propose to leverage ideas from quantum information science such as noisy inputs/outputs/parameters to improve the ro ...

methyst Research Inc. will design, fabricate and test a high uniformity, large area, low noise infrared trap-detector detector for the 1- 4.5 μm wavelength range. This state of the art detector will have a large area (e.g., 1-1.8 cm diameter active area) with a spatial variability of internal quantum efficiency of less than 0.1 % between 1 μm and 4.5 μm. In addition, the internal quantum effici ...

Due to the limited amount of rhenium present in the earths crust (approximately 1-2 part per billion) there is a significant benefit to be realized in recovering for reuse the rhenium from scrap material, spent catalysts, or end-of-life superalloys. Rhenium is found in molybdenum-copper porphyry deposits. If rhenium is present in ore that is processed, it will show up in the resulting molybdenum ...

The benefits of greater power and efficiency are offered by using turbochargers and superchargers for small UAS propulsion systems which including rotary, piston, and other developing engines. Present day UASs suffer performance losses upon takeoff and at altitude. Therefore, the need for improved, light weight turbo and superchargers which eliminate the use of oil lubrication for the bearing sy ...