Award Data

The objective in this project is to implement and validate a probabilistic qualification framework that will enable additive manufacturing (AM) materials and part qualification through the use of a data-driven predictive model within a statistical framework. Senvol seeks to develop and validate a data-driven ICME probabilistic framework for assisting qualification of AM materials and parts. Phase ...

Superconductor digital circuits, operating at very high clock speed, can directly process wideband digitized radio frequency (RF) signals. By integrating such digital processing circuitry together with superconductor analog-to-digital converters (ADCs), we propose to develop the next generation digital-RF receivers. Leveraging the recent development of multiple superconductor ADCs on the same chip ...

latereThis proposal describes the development of a process to synthesize low defect Ge1-xSnx and SiyGe1-x-ySnx layers on silicon and silicon-on-insulator (SOI) substrates through low thermal budget laser and rapid thermal annealing/crystallization for high performance mid-wave infrared (MWIR) photo detectors and integrated Si-based optoelectronic devices. In phase I, we demonstrated synthesis of G ...

Developing knowledge-driven nanoelectronics for military applications requires understanding the fundamental physics that governs the behavior of the underlying materials. Strongly correlated materials have very desirable properties such as interfacial superconductivity, ferroelectricity, ferromagnetism, and huge magnetoresistance, which make them an ideal set of candidates to integrate with semic ...

In response to NASA’s topic T12.02 of “Extensible Modeling of Metallurgical Additive Manufacturing Processes”, Sentient proposes to incorporate its DigitalClone technique to develop a multiscale and multiphysics computational modeling suite to predict comprehensive outcomes from AM building processes, including geometrical accuracy, and resulting microstructure and defects. Figure 1 shows th ...

This proposal includes, for the first time, integrated theoretical models and experimental investigations to simulate and demonstrate femtosecond-laser-fabricated waveguides in crystalline dielectric materials. The numerical models will predict refractive-index changes potentially induced by self-focusing, heat accumulation, thermal stress, plasma formation and relaxation, and ablation. The influe ...

The Department of Defense (DoD) has a demand for out-of-production parts to maintain mission readiness of various weapons platforms. Additive manufacturing (AM) is an exciting and promising manufacturing technique that can make out-of-production parts and holds the potential to solve supply chain issues, such as high costs (i.e. for low-volume parts) and sole sourcing risks. The ability of AM to s ...

The goal of the proposed work is to provide the Air Force with a state-of-the-art model of the outer zone energetic charged particles, including data assimilation capabilities. The UCLA-developed Versatile Electron Radiation Belt (VERB) model will be optimized for various measurements obtained on various satellite orbits by different instruments. We will transfer VERB code to SSI, test and validat ...

The increased use of sensing systems and large scale networked nodes with a variety of embedded sensors and imagery is creating a plethora of varied data that needs to be fused and interpreted for applications such as surveillance, reconnaissance, and air traffic controls. The need for persistent human analysis with high levels of proficiency is taxing human resources and cognitive abilities. In t ...

Standard protocols such as SSL, SSH, etc. are implemented as one-size-fits-all libraries. To maximize compatibility, these libraries implement rarely used features that increase attack surface. Examples include the SSL Heart Beat feature (HeartBleed) and weak SSH ciphers (LOGJAM).The Navy would like to reduce software attack surface by removing unused protocol features. Our proposal, LeastProtocol ...