Award Data

In an effort to development more robust optical system coatings DTRA, in collaboration with Sandia National Labs, is working to characterize the degradation of optical materials for space systems when exposed to high intensely EUV/ cold x-rays. The experiments utilizes the Double Eagle z-pinch facility which generates high current, high voltage arc pinch plasma to produce an intense EUV and cold x ...

Nalas Engineering and Johns Hopkins University collaborated in a Phase I STTR program to study reactive mixtures of HI3O8 and nanocomposite fuels previously developed by the Weihs Group. These fuel/oxidizer mixtures are uniquely able to simultaneously produce heat and biocidal iodine gas, a combination designed to destroy biological weapons. The team at Nalas focused on evaluating conditions for p ...

Traditional weapon systems often fail to meet the requirements of close combat typical of the previously discussed engagement, where insurgents often blend in or store weapon amongst friendly or non-combatant forces, to shield them from precision strike munitions of a technologically superior force. This type of warfare has led to an increased focus on the use of less-lethal weapons, to reduce let ...

NIST is using a sensitive optical technique called cavity ring-down detection to permit detection of impurities in semiconductor process gases, which cause substantial losses in manufacturing yield. In order to increase the sensitivity and range of application of this technique, improved single frequency laser sources are required. In particular, lasers providing more power, narrower line-width, b ...

Bridger Photonics, Inc. proposes to develop an absolute length metrology sensor that will simultaneously provide >1,000 measurements per second, 0.5 m maximum measurement distance. Bridger’s solution is will fill a gap in precision measurement technology for applications that require rapid monitoring of macroscopic distances such as positioning and calibration of surface metrology systems (CMM, ...

"Deep Learning for standoff detection of Special Nuclear Material (DLeN) applies the same deep learning techniques that allow computers to beat human performance in image recognition and the game of Go to detecting Special Nuclear Material. Spectral analysis and signal processing can in some cases be augmented by the use of much larger neural nets that conduct much deeper analysis of features of t ...

This proposal represents a collaborative response by XpressRules and NIST to a two-fold demand from the information security marketplace. The business requirement (for true policy governance) is that asset owners and steward themselves-and not IT—become directly accountable for the life cycles of their rules and policies. The technical requirement (for an adequate data model) is that the policie ...

Adopting open standards such as the X3D and H-Anim reduce costs and ensure the longevity of applications involving human avatars. However, graphics hardware currently requires customized of vertex shader programming to optimize rendering. Yumetech, Inc. and Vcom3D propose the H-Anim+ Browser API: a generic vertex-skinning scheme for the H-Anim specification. The Phase 1 objective is to develop a g ...

In this Phase I SBIR, Nomadics will build on our past experience with micro-structure resonators and quartz-based sensors to develop a pressure sensor suitable for high pressure applications such as oil and gas industry applications. In the Phase I work, the outstanding measurement resolution of our sensing technology will be demonstrated and the feasibility of this technology for pressure sensing ...