Award Data

Advanced Computation and Engineering Services proposes to develop new and innovative modeling concepts to more accurately define and predict the failure modes of various fabric materials from current and futuristic ballistic impacts, working closely with North Carolina State University and conferring with engineers at body armor manufactures. Extensive research has been conducted by various gover ...

Field combat load assessment for combat training and combat mission personnel load management is an identified military need. The combat load assessment device or CLAD must meet several requirements not found in off-the-shelf commercial or consumer weighing devices. Weight requirements, accuracy requirements, functional requirements, and cost requirements prohibit the use of currently OTS hardwa ...

A core process for sensor performance prediction is the radiative transport algorithm used to convert the scene environmental characteristics into radiance. Numeric approximations are often used to enhance execution time at the expense of overall radiometric accuracy. However, many radiative transfer approximations have limited applicability, working only for a set of atmospheric conditions, sen ...

DTRA uses high-resolution mesoscale forecasts to drive HPAC, the DTRA dispersion modeling tool that generates critical forecasts of dosage resulting from releases of chemical, biological, or radiological agents. HPAC is designed to provide probablistic information based on estimates of the uncertainty of the input forecast fields of the meteorological variables (wind, temperature, etc.). ...

An important and fundamental challenge in science and engineering is the need to understand the system output variables (model predictions, measured observables) and their relation to the system¡¦s input variables (model inputs, specified experimental conditions). This project proposes to address this problem through the development of a family of numerical tools for implementing High Dimension ...

Conventional docking tests take a long time because of the many degrees of freedom. Additionally, large libraries of small molecules are tested without adequately using feedback about their suitability as inhibitors from previous tests. We propose a rapid initial screen that can computationally evaluate large numbers of small molecules so that a subset may be selected for further computational ana ...

Based on our recent progress in a proprietary optical MEMS IR camera technology, Agiltron Inc. proposes to develop a revolutionary approach to produce an uncooled IR imager whose operation band is switchable between broadband coverage of the combined MWIR and LWIR spectrum and only the MWIR region. The design has fundamental advantages in cost and performance compared with the competitive approac ...

Dual Source Enemy Identification and Negation Lidar (DSEINL) is a preferred method with wide field of view and high detection rate to find and identify enemy combatants and sniper rifles by receiving the co-reflected or retro-reflected light from the sighting riflescope or the enemy combatant¡¦s eyes. The sighting scope mounted on weapons, such as sniper rifles, has a reticle plate fixed on the ...

Agiltron proposes a new class of significantly lightweight long wave infrared (LWIR) lens system for Army manportable fire control and missile systems. Our unique afocal design uses only three thin lenses with aspherical and Fresnel surfaces, holding the promise of providing unsurpassed optical zooming performance. Leveraging on our extensive expertise in chalcogenide glass lens fabrication, we pr ...

Leveraging Agiltron's recent breakthrough in photonic nano-manufacturing technology and research on photonic crystals together with Northeastern University's know-how in the research of negative index material, we propose to design and fabricate a negative index photonic crystal material and establish its potential for negative refraction and subwavelength imaging at visible wavelengths. Our preli ...