Award Data

The proposed project covers manufacturing improvements in the production of specific high volume batteries of interest to DLA as specified in their SBIR Proposal Submission Request noted above, with the exception of the PRC-154 and PLM-4 Batteries. Bren-Tronics proposes to go directly to Phase II because we have already demonstrated the feasibility of the proposed manufacturing improvements on the ...

Additive manufacturing lacks efficient, composable physics-based computational frameworks to predict quality and performance for arbitrary geometry, orientation, location and process parameter combinations. A new set of composable computational tools capable of accurately predicting the geometrical accuracy, residual stress and microstructure of the parts made using metal based AM has been develop ...

This Phase I SBIR Project seeks to develop methods of recycling rare earth from spent strategic materials.Rare earth materials are critical for a broad range of technologies.Important industrial sectors such as defense, manufacturing, energy, transportation,and electronics all utilize rare earth materials in abundance.There are currently a limited number of economically viable sources of rare eart ...

Chemical manufacturers require high accuracy and high sensitivity pressure sensors to efficiently monitor the various manufacturing systems and processes in the chemical plant, to ensure any changes proceed in a safe and reliable manner, adhering to expected standards and practices. In addition, NIST has a need for highly accurate absolute and differential pressure measurements, especially for det ...

Clarapath has developed a novel high-throughput technique for gathering high-quality histopathological data at cellular resolution. Recognizing a critical gap in the available data to support the rapidly growing field of 3D bioprinting, we propose to automate our approach and optimize the resulting histopathology-based 3D models for 3D bioprinting applications. In Phase I, we will demonstrate feas ...

The capabilities of modern x-ray light sources have opened up new areas in the study of the temporal evolution of complex materials under dynamic loading, which require detectors with high sensitivity, wide dynamic range at frame rates approaching the bunch repetition rates of modern light sources and detection at x-ray energies above 20keV.However, the capability to do such research is limited by ...

Radioisotopes can be identified by the emission of neutrons & gammas having characteristic energies.Most hand-held radioisotope identification instruments, however, are gamma-ray centered designs that optionally include neutron detectors of limited sensitivity. Passive measurements of gamma-ray signatures can easily be compromised by shielding a source. Photogenics has developed a neutron spectrom ...

DTRA is faced with the challenge of extracting and effectively utilizing information from a very large and diverse set of natural language and structured data sources. Current methods often lack contextualization and are generally noisy, shallow, patchy, and overly low-level. We will develop a unifying, general, and elegant solution to address this challenge, based on the overall Textual Rulelog a ...

This program will combine Silicon Technologies analog automation technology ADONIS with EBDW technology.This combination will reduce design times and costs for Analog Trusted circuits and will facilitate reuse of obsolete, radiation-hardened, precision analog components. Originally funded by the DARPA GRATES program, ADONIS demonstrated that with analog specific modifications, ADONIS Straight Line ...

Nuclear weapons effects (NWE) testing and other experiments conducted with plasma radiation sources require that test articles be exposed to radiation but protected from fast moving debris generated by a high power source event. Solid barriers or membranes are unacceptable because they attenuate the desired radiation, and physical shutters of reasonable size and complexity have difficulty reaching ...