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Award Data
The Award database is continually updated throughout the year. As a result, data for FY24 is not expected to be complete until March, 2025.
Download all SBIR.gov award data either with award abstracts (290MB)
or without award abstracts (65MB).
A data dictionary and additional information is located on the Data Resource Page. Files are refreshed monthly.
The SBIR.gov award data files now contain the required fields to calculate award timeliness for individual awards or for an agency or branch. Additional information on calculating award timeliness is available on the Data Resource Page.
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Automated In-situ Large-area De-processing of ICs with High Throughput
SBC: MICRONET SOLUTIONS INC. Topic: DMEA18B001The objective of this proposal is to demonstrate the feasibility of producing an automated delayering and imaging system with end point detection, material density detection with built in neural network error correction. This process, coined fast Automated Delayering-Image Capture System (ADICS) leverages off of the existing Pix2Net which is a proven automated imaging 3D microchip reconstruction ...
STTR Phase I 2019 Department of DefenseDefense Microelectronics Activity -
Electronically Dimmable Eye Protection Devices (EDEPD)
SBC: NANOSONIC INC. Topic: AF18BT003Through the proposed Phase I Air Force STTR program, NanoSonic and Virginia Tech will demonstrate metal organic framework materials and electrospray fabrication methods for the manufacture of eye protection devices that are capable of controlling the amount of light transmitted through the device. The objective of this program is to 1) increase the dynamic range and speed of electronically switche ...
STTR Phase I 2019 Department of DefenseAir Force -
Efficient and Faster Methods for Performing General Wave-Optics Propagation
SBC: TAU TECHNOLOGIES LLC Topic: AF18BT004We will develop hybrid wave propagation approach that implements FFT and EMA (Efficient Matrix Algorithms) propagators in a fashion that is transparent to the user but insures the highest efficiency and accuracy for a given propagation problem. We will develop rules to decide which propagation approach is ideal for a given situation. The propagation algorithms will be coded in Vulkan/CUDA and C++ ...
STTR Phase I 2019 Department of DefenseAir Force -
Lasers Based on Gas Filled Hollow-Core Photonic Crystal Fibers
SBC: IRFLEX CORP Topic: AF18BT015Current continuous wave (CW) and pulse mid-wave infrared (MWIR) lasers have design and performance limitations that constrain their usability in some critical Air Force applications. There is an important need to create a new class of MWIR laser sources with less drawbacks and higher pulse energies and CW powers. The proposed work will demonstrate the technical feasibility of an innovative MWIR la ...
STTR Phase I 2019 Department of DefenseAir Force -
3D imaging for tracking and aim-point maintenance in the presence of target-pose changes
SBC: TAU TECHNOLOGIES LLC Topic: AF19AT005We propose a three-dimensional imaging approach based on digital holography. Our approach is based on frequency diversity using a single chirped pulse instead of a train of pulses with different frequencies. Our approach promises to mitigate most of the issues limiting the performance of current methods and offer additional enabling capabilities that will improve target identification and tracking ...
STTR Phase I 2019 Department of DefenseAir Force -
Vibration imaging for the characterization of extended, non-cooperative targets
SBC: TAU TECHNOLOGIES LLC Topic: AF19AT006Tau Technologies is teaming with Dr. David Voelz and his research group at New Mexico State University (NMSU) to propose “Vibration Imaging for the characterization of extended non-cooperative targets�, which employs dual-pulses in two different variations for vibration imaging in order to characterize non-cooperative targets at extended standoffs. One method is based on double-pulse ...
STTR Phase I 2019 Department of DefenseAir Force -
Vibration imaging for the characterization of extended, non-cooperative targets
SBC: Guidestar Optical Systems, Inc. Topic: AF19AT006Locating objects that vibrate is a way to discern potential threats and locate targets. However, current vibrometry technology typically measures only the global vibration of target and cannot create an extended spatial measurement of the vibration profile of the target. These solutions cannot identify what the target is, nor can they locate potential weak spots on the target, because they lack sp ...
STTR Phase I 2019 Department of DefenseAir Force -
Synthetic Scene Generation for Wide Application including High Performance Computing Environments
SBC: TAU TECHNOLOGIES LLC Topic: AF19AT007Efficient design, build, and test of an HEL system leverages modeling and simulation (M&S) to reduce cost and increase robustness. Designers use models to explore parameter variations and to estimate performance in conditions which cannot be tested due to physical or financial constraints. This provides significant savings in cost and time. Because live testing is so expensive, it is best used as ...
STTR Phase I 2019 Department of DefenseAir Force -
Synthetic Scene Generation for Wide Application including High Performance Computing Environments
SBC: STELLAR SCIENCE LTD. CO. Topic: AF19AT007We will deliver a new software architecture for scene generation named the Realistic Image and Neighborhood Generator (RING). Instead of being tied to a single tool, RING will provide interfaces suitable for a wide variety of image and scene rendering tools to run and interact with other codes. As an initial implementation of the interfaces, we will incorporate Stellar Science’s powerful, f ...
STTR Phase I 2019 Department of DefenseAir Force -
Autonomous Decision Making via Hierarchical Brain Emulation-- 19-009
SBC: METRON INCORPORATED Topic: AF19AT009The objective of this project is to develop human intelligence-inspired algorithms that exploit multi-modal sources of low and high quality data to achieve a series of objectives such as detection, localization, tracking, and classification. A Bayesian model-based hierarchical adaptive decision making (HADM) algorithm will be developed which includes multiple levels of decision making organized in ...
STTR Phase I 2019 Department of DefenseAir Force