Award Data

This STTR Phase I project aims to design, implement, and demonstrate a rigorous, practical, fast, and re-usable anisotropic mesh adaptation software module for enabling the efficient computation of high Reynolds number flows in large computational domains. To this effect, it focuses on developing: (a) a set of portable and cache-friendly dynamic data structures that ease the implementation in a hy ...

The overall objective of this effort is to identify, and validate a suitable methodology and the associated multi-scale computational technique for predictive assessment of corrosion fatigue damage in Naval aircraft. Annual costs for corrosion inspection and repair of military aircraft are estimated to exceed $1B. Predictive modeling of corrosion fatigue damage is challenging since it has to captu ...

Complex software systems are typically developed by disparate engineering teams working concurrently. At the same time, software requirements are frequently dynamic, evolving even during active development cycles. Discrepancies between how software is defined and how it is implemented at the modular level can cascade into critical system errors when modules are integrated. More troubling is that i ...

A high-voltage, high-capacity, inexpensive cathode material for lithium-ion batteries (LIBs) is proposed. The cathode material employs carbon nanotubes and additional nanostructures to support efficient transport of Li ions. The resulting LIBs will support high transient and pulsed loads while offering enhanced safety and lifecycle performance. Proof-of-concept LIB cells were demonstrated in Phase ...

For Unmanned Aircraft Systems (UAS) to operate seamlessly in both the U.S. National Airspace System (NAS) and abroad, it will be crucial that they possess a sense-and-avoid (SAA) capability that can ensure safe operations among maneuvering, non-cooperative aircraft. Numerica Corporation, in partnership with Johns Hopkins University, proposes to develop a set of algorithms to model the uncertaintie ...

As strontium and other alkaline-earth metals become increasingly attractive for ultracold-atom applications, there is a growing need to develop compact, robust systems for cooling, trapping, and studying these elements. In this proposal, ColdQuanta will team with Dr. Jun Ye at JILA and the University of Colorado at Boulder to develop a portable, turn-key system that can produce, utilize, and optic ...