Award Data

SI2 Technologies, Inc. (SI2) proposes to develop printed, high-efficiency phased arrays operating at Navy-relevant frequencies. The proposed development effort will include trade studies identifying the best printing technique or combination of techniques to meet the Navys phased array performance goals. The printed array will incorporate both printed radiating elements and an innovative printed p ...

EIC, in collaboration with NREL, proposes to develop safe, large-format aircraft Li-ion batteries where thermal propagation of an overheated cell to neighboring cells or group of cells will be prevented by integrating novel thermal management technologies.

Continuous monitoring of bioelectrical signals can provide valuable insight to subjects stress, fatigue, resilience, and overall health. A rugged, miniaturized, low-power integrated circuit that has the ability to detect a wide variety of signals using noncontact electrodes lends itself to a valuable platform for a wearable system to assess an individuals physical and mental status. We propose suc ...

Agiltron in collaboration with National Renewable Energy Laboratory (NREL) will develop a new class of high-efficiency and lightweight broadband inverted metamorphic multi-junction (IMM) solar cells for the uninterrupted flight missions of unmanned aerial vehicles (UAVs). The approach is closely coupled with Agiltrons extensive experience in high-transmittance broadband and wide-angle anti-reflect ...

Voltage tunable multiferroic materials with strong magnetoelectric coupling provide a unique approach to compact, lightweight and power efficient tunable RF/microwave multiferroic components, such as tunable inductors, filters, phase shifters, etc. The tu

SI2 Technologies proposes to design, model, fabricate and transition wideband tunable multiferroic electronics for advanced RF systems including adaptive Radar, software defined radios and other electronic warfare (EW) applications. Combining novel nanost

The proposed effort will extend existing proofs of concept and advanced research systems to: (a) provide an efficient, low-level, data-parallel runtime for graph processing on GPUs; (b) provide a high-level abstraction for writing graph analytics that are

Decades of exponential advancement in computer capabilities have transformed the world, from toddlers’ playthings to the technologies of war and peace. Some further advances are constrained by the limits of von Neumann machines; in particular, they do not learn well. Aptima proposes to conduct a feasibility study to design “UBER-HEB,” a non-von Neumann hierarchical universal learning system. ...

Recent materials development together with an improving understanding of organic transistors has enabled solution-processed materials that show good performance, with high transparency in the visible range. In this program, leveraging on our extensive experience in organic material development and large scale organic material deposition by solution based processing, AGILTRON and Stanford Universit ...

Reasoning under uncertainty is a critical capability for systems that support intelligent decision making in defense applications. Probability theory is a sound, widely accepted basis for reasoning under uncertainty. The environments in which decisions are made are rich and complex. Logical languages are powerful and expressive, providing the capability for making general statements and describing ...