Award Data

The physics generating timing spurs in a high-speed, low-bit depth analog-to-digital converter will be modeled in a machine learning framework to enable both the prediction of spurs and adaptive removal using a linearization neural network.  High-speed implementation of the spur estimation and removal networks will be accomplished.

TransWave Photonics proposes to develop 1024 x 1024 light emitting diode (LED) arrays capable to produce >15% wall-plug efficiency based on successful demonstration of single Purcell LED devices developed in Phase I. We will optimize the LED band structure, pixel geometry, and fabrication steps of Purcell LEDs and implement them to achieve the target specifications. Then, 1024x1024 addressable Pur ...

The objective of proposed research is to demonstrate and validate a prototype of an Integrated Computational Materials Engineering (ICME) predictive modeling tool to fine-tune Gas Flow (G) and associated parameters for Metal Fusion (M) to attain high-quality AM Process-Structure-Performance (PSP). Validate Additive Manufacturing (AM) part quality using Directed Energy Deposition (DED) to repair ga ...

This effort will focus on developing effective tools enabling automatically building structured finite element (FE) mesh for as-built composite parts from X-ray Computed Tomography (CT) scan data that accurately captures performance-critical flaws in the form of the manufacturing defects. Such tools will fill a major technology gap in analysis-based assessment of residual capability and remaining ...

5G mobile networks are poised to dramatically enhance communication capabilities for DoD missions, such as those that require high mobility, and/or seamless connectivity between Navy vessels and UAV/USV/UUV/UGVs, each with rapidly changing positions. The network slicing enhancements of 5G will enable increasingly sophisticated network tunneling scenarios, such as allowing a battlefield partner (of ...

The multi-faceted field of cryogenic packaging of superconductor integrated circuits (ICs) encompasses a vast array of engineering disciplines and remains somewhat immature for large IC sizes. Excellerix proposes to develop this critical infrastructural area to support all future growth of the superconductor ICs and multi-chip modules (MCMs). In particular, the proposal aims to emphasize the therm ...

Development of hypersonic aircraft and weapon systems has become a critical focus for the Department of Defense to maintain global strike and projection of force capabilities. Despite decades of research, traditional computational fluid dynamics (CFD) methods are either incapable of adequately predicting complex features in hypersonic flows or too expensive to be of practical use for vehicle desig ...

Naval strike groups may contain space-based, airborne, on-the-surface, and subsurface platforms, and include numerous ground- and ship-based systems for sensor data collection and analysis. Increasingly, Great Power Competitor’s (GPC) Signal Intelligence (SIGINT) teams are focusing on disruption of intelligence, surveillance, and reconnaissance (ISR) capabilities as one step in a complex kill ...

The Forensic Memory System (FMS) addresses a critical need for wideband sensor systems. Wideband digitizers produce copious data samples that need considerable interface bandwidth to transport and distribute real-time data to heterogeneous compute resources performing signal analysis. The initial signal analysis component, signal detection for example, will indicate a signal of interest (SOI) is p ...

The existing HFBL (High-Frequency Bottom Loss) database has been recognized to be unsatisfactory due to its lack of physical underpinning and inability to provide consistent performance across frequency and space. The aim of the project is to replace the HFBL database with a geoacoustic model that leads to a smooth transition to the LFBL (Low-Frequency Bottom Loss) model at 1 kHz. To this end, thi ...