Award Data

This STTR Phase 1 project proposes development of a statistical relational learning framework for identification of the function of laboratory equipment from imagery. The proposed framework uses semantic reasoning to incorporate evidence from multiple classifiers and feature extractors, domain knowledge, and scene context for scene understanding and labeling. The Phase I effort will focus on imple ...

MATSYS proposes to adapt emerging additive manufacturing techniques (so-called 3-D Printing) for use with reactive structural materials and demonstrate this capability to rapidly fabricate reactive case. Our concept incorporates two major manufacturing steps: 3D printing of green compacts from pure Al or Al-based reactive powder blend; and Microwave (MW) sintering of green compacts into net-shaped ...

MATSYS proposes to develop, test and evaluate a scalable metal-based reactive structural material that will self-fragment to micron or sub-micron scale fuel particles when subjected to explosive shock loading, resulting in significantly enhanced metal combustion efficiency. Use of reactive material casings offers the potential for several-fold increases in blast and overpressure by generating rapi ...