Award Data

Reduced mass materials are critical to the success of aerospace systems. Thus, large air and space structures can benefit from lightweight composite materials. However, their adoption is impaired by the lack of a robust, cost-effective fabrication process, principally because the autoclaves used to consolidate composite laminates are so expensive for large parts. This program develops for US aeros ...

The recent performance increases in graphics processing units (GPUs) have made graphics cards an attractive platform for implementing computationally intense applications. With their numerous parallel computational pipelines and SIMD architecture, modern GPUs can outperform high-end microprocessors by one to three orders of magnitude, depending on the problem. Most work to date at EM Photonics a ...

At the heart of scientific computing and numerical analysis are linear algebra solvers. In scientific computing, the focus is on the partial differential equations (PDEs) that arise from computational fluid dynamics (CFD), climate modeling, astrophysics, and structural and heat analysis that cannot be solved analytically. Certain problem formulations lead to sparse matrices, in which the majority ...

In this SBIR project, AlphaSense, Inc. and the Carnegie Mellon University propose to develop a RF receiver front end based on CMOS-MEMS components for miniaturized digital EVA radio applications. In Phase I, we have proven the feasibility of implementing a compact, low power and high performance S band receiver front end based on CMOS- MEMS components. Specifically, we conducted link budget analys ...