Award Data

The objective of this program is to build AHaH Computing demonstration chips and boards, establishing in the process the technical frameworks for a memristor wafer services business with the Idaho Microfabrication Laboratory (IML) at Boise State University (BSU), Dr. Kris Campbell at BSU, and other fabrication facilities. We believe that AHaH Computing and kT-RAM offer the most practical and robus ...

ABSTRACT:Both civilian and military personnel live in a world awash in information while our military commands reconnaissance and weapons platforms of all shapes and sizes over a global and increasingly congested theater. We need new technology to help us sort, prioritize, make sense, and act on the growing streams of information.In Phase 1 we have proven feasible a core CMOS+Memristor circuit cap ...

This Small Business Technology Transfer Phase I project will develop ultradense, low-power plasmonic integration components and devices for on-chip manipulation and processing of optical signals. Both passive and active components will be studied. Detailed performance predictions will be obtained through finite element modeling (FEM) of the harmonic Maxwell’s equations. The FEM provides detai ...

Through the execution of our Phase 1 effort, Nutronics, Inc. and Montana State University developed an improved means to optimize the Pellizzarri cost functional for coherent imaging using digital holography. Our algorithm developed during the Phase 1 effort accelerates convergence times by a factor of 20-40 for the majority of scenarios evaluated. Our proposed Phase 2 effort has a two-fold focus: ...

To address the U.S. Air Force need for Developing innovative wave-optics Propagation methods to model laser systems that are faster, efficient and more accurate, Luminit, LLC, and University of Southern California (USC) propose to develop Wave-Optic Propagation Computation Enabled by Machine Learning Algorithms (WOPA). The proposed algorithms will be based on cutting off redundant frequencies upon ...