Award Data

LIT accomplished all Phase I goals and technical objectives. In Phase I LIT produced an effective Random Number Generator (RNG) and tested two PUF designs. The PUF designs showed greatly improved Entropy and Stability over other technologies. LITs Entropy Goal for Phase II is 100% (already proven by analysis) and the Stability goal is one bit error per million bits. In Phase II LIT will ma ...

The need for clean, reliable electrical power is increasing in both the military and commercial sectors, which places high priority on technologies that provide flexibility and increased energy independence. The potential for reduced maintenance, high reliability, and increased durability is currently being demonstrated with microturbine generator (MTG) hardware. Currently these MTGs have been lar ...

Sepax Technologies, Inc. has identified a new type of anoin-exchange resin which separates single-wall carbon nanotubes (SWCNTs) with >80% recovery yield and resolves in a single pass the chiral tubes of (6,5) well from commercial SWCNT starting materials by Chromatography. Improvement and scale up of the targeted resin production will facilitate the separation of chiral nanotubes for the academic ...

The ability to electronically identify users and their devices is increasingly becoming an integral part of our interaction with computing platforms. Whether an operating system is contacting the manufacturer's web site to confirm its proper registration and payment today, or a cell phone is broadcasting entrance credentials to a secure physical site tomorrow, it is apparent that identifying infor ...

CAD CAM technologies have had an immense impact on the product development process in the last two decades. Current technologies, however, have limited knowledge representation and computational capabilities to enable collaboration of design decisions beyond commercial Internet based collaboration tools. In the Phase 1 Lateral Eye proposes to develop a new framework for Knowledge Integrated comput ...

This proposal is aimed at developing a full software solution for the next generation advanced optical metrology. Existing simulation tools cannot meet the current and future needs of scattering-based optical metrology for semiconductor manufacturing. Our proposed work will first focus on developing an enhanced RCWA-based simulation engine with advanced algorithms for fast convergence and stabilit ...