Award Data

The U.S. Air Force trains and educates a large and diverse workforce to meet requirements across a complex array of missions. Early-stage training in many Air Force Specialty Codes can consist of large corpora of foundational, static material, so training that motivates airmen is a necessary element in helping ensure a supply of qualified personnel in mission-critical areas like aerospace maintena ...

Recent technology advances have enabled the simulation community to achieve greater realism in virtual training environments. As new methods for synthetic image generation are developed, the lack of readily available supporting data to populate these specialized techniques limits their implementation. Currently the capability is not available to efficiently generate enhanced temporal energy maps ...

This Phase II STTR proposal will develop a computational tool for state-of-the-art computational modeling of multi-scale thermo-mechanics of heterogeneous energetic materials. The proposal will bring together researchers with long-standing expertise in flow software and physical modeling of high-speed reactive multi-material flows to work on further developing a cutting-edge computing tool called ...

Bennett Advanced Research proposes to examine fundamental properties of adaptive materials for use with Additive Manufacturing technologies. The focus will be on developing a system for spacecraft Self Health Monitoring (SHM).