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SBC: VESCENT PHOTONICS LLC Topic: N19AT006
Vescent Photonics, LLC, (Vescent) and the Massachusetts Institute of Technology Lincoln Laboratory (MIT-LL) propose to develop a low-noise, field-deployable vector magnetometer based on the dispersive cavity readout (DCR) of nitrogen vacancy (NV) diamond. Solid-state quantum systems based on NV-diamond centers have many intrinsic properties that make them well-suited as stable, sensitive platfor ...STTR Phase II 2021 Department of DefenseNavy
SBC: Intelligent Automation, Inc. Topic: N20BT026
NAVY seeks high strength, low density, and high corrosion resistant alloys for structural components which can be processed by additive manufacturing (AM). Magnesium (Mg) alloys are candidates for fuel-efficiency applications, especially the aircrafts. They satisfy density, strength, and stiffness for many designs. However, their low corrosion resistance cannot ensure design lifetimes. This limi ...STTR Phase I 2021 Department of DefenseNavy
SBC: PC Krause And Associates, Inc. Topic: N19BT025
Modern and next generation military aircraft face increasing challenges as thermal demands grow while available heat sinks reduce. Legacy platforms upgraded with advanced electrical systems are also encountering similar thermal constraints. Modeling and simulation (M&S) tools provide a cost-effective solution to the design, analysis, and optimization of growing thermal management challenges, but t ...STTR Phase II 2021 Department of DefenseNavy
SBC: Euler Scientific Topic: NGA20A001
Deep Neural Networks have become ubiquitous in the modern analysis of voluminous datasets with geometric symmetries. In the field of Particle Physics, experiments such as DUNE require the detection of particle signatures interacting within the detector, with analyses of over a billion 3D event images per channel each year; with typical setups containing over 150,000 different channels. In an ...STTR Phase I 2020 Department of DefenseNational Geospatial-Intelligence Agency
SBC: Arete Associates Topic: N19AT010
The objective of this project is to advance the capabilities of the Coastal Battlefield Reconnaissance and Analysis (COBRA) system by creating a Surf Zone Modelling Tool (SZT) that can create realistic synthetic imagery of the surf zone (SZ). Through the use of this synthetic imagery the COBRA Program will be enabled to inform concept of operations (CONOPS) in unfamiliar environments as well as mo ...STTR Phase II 2020 Department of DefenseNavy
SBC: HYPERCOMP INC Topic: N20BT028
Under this STTR solicitation N20B-T028, the goal is to build on the strengths of HyPerComp’s development in the HDphysics suite of tools to meet NAVAIR’s requirements in solving large-scale problems in electromagnetics. One area that will receive a major attention in this effort is the development of high order curved meshes for arbitrary geometries with small- and large-scale features that ...STTR Phase I 2020 Department of DefenseNavy
SBC: FREEDOM PHOTONICS LLC Topic: N20BT030
In this program, we propose to adapt a new, high-performance integration platform for RF photonics to operation at 1um, and to realize integrated optical transmitters that meet the requirements of the program.STTR Phase I 2020 Department of DefenseNavy
SBC: FREEDOM PHOTONICS LLC Topic: N20AT012
In this program, Freedom Photonics and its research partner institution will demonstrate an analog optical link using novel record performance laser, modulator and photodiode technology. Preliminary designs for a miniature, deployable implementation will be conducted as well in Phase I.STTR Phase I 2020 Department of DefenseNavy
SBC: CASCADE TECHNOLOGIES INC Topic: N19BT027
Current design tools for gas turbine engines invoke a variety of simplifying assumptions to estimate heat transfer to solid/metal engine components (e.g., isothermal boundary conditions). These approximations are often not valid, result in inaccurate predictions of heat transfer, and ultimately compromise the thermal integrity of propulsion and power systems. Wall-modeled large eddy simulation (WM ...STTR Phase II 2020 Department of DefenseNavy
SBC: MAYACHITRA, INC. Topic: N20AT007
We propose a suite of video processing algorithms utilizing the machine learning (ML) techniques of artificial intelligence (AI) reinforcement learning, deep learning, and transfer learning to process submarine imagery obtained by means of periscope cameras. Machine learning (ML) can help in addressing the challenge of human failure of assessing the data of periscope imagery. Though pre-tuned blac ...STTR Phase I 2020 Department of DefenseNavy