Award Data

Lightweight, advanced structural materials are needed to enable affordable space exploration beyond lower Earth orbit. Composites have been studied and used for these applications for decades, but are still limited to off-optimal, quasi-isotropic designs. Integration of dissimilar fiber layups and novel matrix materials in the composite structure can lead to significant improvements in material pr ...

Reconfigurable and adaptive hardware systems are essential parts of NASA applications due to the unavoidable uncertainties and variations due to extreme operational conditions, radiation effects, modifications of standard and requirements, varying user preferences and high development cost. Moreover, adaptability at the hardware level provides increased flexibility and capabilities. While electron ...

The US requires standoff precision strike capabilities in GPS-denied and high threat environments. This includes fire-and-forget lock-after-launch vision-based guidance for SOPGM. Due to emerging threats, a paradigm shift is occurring in the way we gather intelligence, maintain surveillance, and perform reconnaissance. ISR platforms are evolving, and artificial intelligence is at the forefront of ...

Deep Labs recognizes USSOCOM’s challenge to process multiple data and communications inputs for optimized decision making, and to support rapid on-the-move abilities to learn and communicate knowledge to enhance tactically relevant situational awareness in peer/near peer environments. Deep Labs has proven this capability across complex challenges in the world’s largest commercial enterprises a ...

We propose to improve, refine and mature Nexus proprietary heterogeneous SiN based platform to improve the short-wavelength propagation losses, and integrate high-responsivity/high-quantum efficiency photodetectors in visible in a wafer-scale process for NASA needs and infusion into existing and upcoming instruments.

In resource limited settings, rapid and accurate diagnosis of infections is critical for managing potential exposures to highly virulent pathogens,whether occurring from an act of bioterrorism or a natural event. This is especially important for hard to detect intracellular bacterial andalphavirus infections, that overlap symptomatically and often treated empirically due to a lack of reliable and ...

Uncertainty management within autonomous systems is imperative to improving trust in multi-agent cyber-physical-human systems. These multi-agent systems require not only a robust uncertainty quantification strategy, but also an intelligible representation of uncertainty to human agents to elucidate confidence in the autonomous portions of the multi-agent systems. Here, we propose to develop a gene ...

Hypersonic vehicles have seen renewed interest in recent years for both civilian and government applications. However, the hypersonic flow regime poses unique challenges to computational aerothermodynamic simulation tools due to complex physics, including a combination of strong shockwave formation, thin boundary layers, real gas effects, thermochemical nonequilibrium, and departures from continuu ...

This task seeks to develop advanced teaming via machine learning between small unmanned air systems and Non Line-of-Sight (NLOS) munitions in GPS denied Environments. Current precision targeting capabilities are robust to state errors from ISR targeting platforms and weapons systems seeking to passively acquire a target. Visual Based Navigation (VBN) provides required state information in GPS deni ...

Quantum technology will become a key enabler of future Air Force superiority. Topological insulator (TI) qubits are inherently stable and fault-tolerant because they exploit local topological symmetries and global boundary conditions of chalcogenide materials to yield unique, emergent quantum states. Wake Forest University and Streamline Automation have been working collaboratively for the last se ...