Award Data

Virtual EM is proposing a method to achieve orders of magnitude improvement in computational efficiency in full-wave CEM codes by using high-order curved elements. Virtual EM’s own commercial product VirAntenn™ will provide the CEM setting for both developing and implementing the new capability in Phase I and Phase II, respectively. Using multi-wavelength long cells with high-order basis forms ...

Ground vehicle underbody blast events pose a significant threat to warfighters; therefore, there is a need to develop energy attenuating (EA) seats to mitigate these injuries. Many of the current technologies were primarily designed for the 50th percentile male. To address this critical need, Luna Innovations will investigate how anthropometric variability and changes in posture affect injury, dev ...

The United States Navy is currently developing Condition Based Maintenance Plus (CBM+) concepts and technologies in order to improve the readiness and availability of Department of Defense assets by maximizing efficiency and reducing the life-cycle maintenance costs through data-driven decisions. A secure CBM+ sensor node has the potential to reduce the number of machine overhauls, shorten the tim ...

The Internet and social media are littered with bots, cyborgs, trolls, spam, deepfakes, shallowfakes, misinformation, disinformation, and other manifestations of purposefully manipulative content. Recent world events have highlighted the tangible and worrying impact of these phenomena on core social and democratic functioning. There is mounting evidence that bot and bot-assisted accounts, acting i ...

The Navy desires an Intelligent Additive Manufacturing (IAM) system for metal Laser Powder Bed Fusion (LPBF) that can incorporate AI to provide real-time adaptive monitoring and control of the LPBF process and produce defect-free parts while maintaining or reducing part build times. To provide this, our team will develop Open-IAM.  The concept will consist of a controllable open architecture LPBF ...

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 an enhancement neural network. The algorithms will be developed in software and optimized for low-latency operation in a digital (FPGA or similar) framework. High-speed implementation of ...

An AI-based algorithm is being proposed to increase ADC linearity by 10dB. Neural Nets will be investigated in conjunction with models of spurs to accomplish the task.

Melanin is a largely unexplored biomolecule with a large diversity of molecular composition. It has broad electromagnetic absorbance, is capable of absorbing gamma radiation, is a strong antioxidant, and is resistant to environmental degradation. Despite many intriguing qualities, it has never been produced at industrial scales to enable innovations in materials and coatings. In response to the de ...

Current Superconducting Quantum Interference Device (SQUID) technology is capable of quantum computing, however, its application is limited due to its large size, low-temperature refrigeration requirement, and high cost.  Quantum optical semiconductor-scale chip technology is promising but not commercially available yet due to the multiple challenges to overcome. Using quantum photonic technology ...

In this SBIR effort, TDA and its team partners propose to develop a comprehensive toolset based on an Integrated Computational Material Engineering (ICME) framework using Machine Learning (ML) and Artificial Intelligence (AI) algorithms to predict mechanical performance and fatigue life in additively manufactured (AM) metallic components. The toolset addresses fatigue contributing factors, includi ...