Award Data

In this Phase II SBIR project, we will optimize the design and develop the growth processes and equipment to routinely produce large (through 150mm), high-quality, single-crystal cadmium zinc telluride (CdZnTe or CZT) bulk material suitable for the production of CZT substrates for producing larger and highest-performing long-wave infrared (LWIR) detector arrays. We are addressing these issues by i ...

PolyMaterials App, LLC (PolyMaterials) proposes to develop a supercapacitor cell suited for MDA applications after a very successful Phase I and Phase II effort addressing topic number MDA19-007, “Supercapacitor Nano-architecture Using Bio-carbon-based Materials Derived from Plant Cellulose”. The primary objective of this 2nd Phase II proposal is to transition PolyMaterials’ supercapacitor, ...

As the Missile Defense System (MDS) codebase grows, it is essential to establish a strategy to automate the verification of software compliance with standards. As breakthrough-enabling technologies, AI and ML can make verifying and complying with standards nearly invisible to the development team, giving clear metrics to quality authorities. The codebase needs to follow the MDA Assurance Provision ...

SpaceLoon proposes to design, prototype, and test a consistent, reliable, and bi-directional Controlled Altitude Ballooning (CAB) system for monitoring climate constituents, such as energetic particles (solar and cosmic) and thermodynamic variables, across various atmospheric layers. The absence of linkage between space weather events and atmospheric physics, chemistry, and dynamics, creates voids ...

The Orbital Wildfire Resilience (OWR) project comprises the innovative combination of MyRadar’s miniaturized satellite technology, onboard Artificial Intelligence (AI) processing, and wide-reaching dissemination platform to improve the wildfire hazard resilience of stakeholders. This research facilitates the development of new MyRadar commercial alerting, nowcasting, and satellite imagery produc ...

The lack of consistent, accurate information on local wildfire behavior, such as gustiness of winds at wildfire fronts and ember showers is one of the most critical data gaps for wildfire managers. Atmospheric processes in the atmospheric boundary layer significantly influence the behavior of wildfires. Temporal and spatial variability of fine-scale winds at the wildfire front plays a key role in ...

There is a need for more capable and affordable means to measure optical properties and biological constituents of marine and freshwater environments. These measures are crucial for estimating the abundance of organisms such as those producing harmful algal blooms (HABs). Affordable and effective methods to extend the measurement range and improve sensitivity of traditional optical instruments wil ...

In this SBIR project, we will optimize the design and develop the growth processes and equipment to routinely produce large, high-quality, single-crystal cadmium zinc telluride (CdZnTe or CZT) bulk material suitable for the production of CZT substrates for producing the highest-performing long-wave infrared (LWIR) detector arrays. Structured Materials Industries wished to improved manufacturing cr ...

Highly maneuverable hypersonic vehicles pose an emerging threat which require that we revisit the kill mechanisms employed to defeat them. In Phase I, SwRI and Anyar will consider a trade space study that examines the potential for including blast/fragmentation warhead systems to increase the volume of space available to impart lethal effects. Anyar’s overarching objectives are defined in the co ...

Traditional deep learning (DL) classifiers often ignore contextual data, limiting complex threat scenario analysis. A new approach, incorporating a wide range of contextual data, is needed to improve object of interest classification, tracking, and targeting. Clostra’s CT-ID (Contextual Threat Identification) will incorporate multi-sensor, time-series, and high-level contextual data, improving t ...