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Award Data
The Award database is continually updated throughout the year. As a result, data for FY22 is not expected to be complete until September, 2023.
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.
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Two-color Infrared Laser Arrays for Scene Projection
SBC: ATTOLLO ENGINEERING, LLC Topic: A17AT018Current scene projection hardware is challenged to simultaneously meet the requirements for high peak temperature (> 2000K), high resolution (> 1Kx1K), response time < 1 ms, cryogenic and temporally uniform photon flux. MEMS, Resistor arrays, liquid crystals, and photonic crystals all suffer in one or more areas. MEMS suffer from flicker and low dynamic range. Resistor arrays suffer from low frame ...
STTR Phase II 2019 Department of DefenseAir Force -
Nanomaterials-Enabled Electrochromic Eye Protection Device
SBC: Innosense Llc Topic: AF18BT003This project will address the U.S. Air Force needs for single-piece, electronically dimmable eye protection device (EDEPD). In Phase I, InnoSense LLC (ISL) will demonstrate feasibility of the approach by incorporating electrochromic layer on curved polycarbonate substrates. Phase I tests will include optical and physical characterizations regarding transmission range, switching speed, haze, unifor ...
STTR Phase I 2019 Department of DefenseAir Force -
Electronically Dimmable Eye Protection Devices (EDEPD)
SBC: Aegis Technologies Group, LLC, The Topic: AF18BT003Electronically dimmable materials with sufficiently strong visible transmission shift, color neutrality, durability and switching speeds have eluded development since the search began nearly half a century ago. We demonstrate the potential for dynamic optical dimming using plasmonic nanostructures with electrodynamic simulations of promising plasmonic metamaterial architectures. In order to achiev ...
STTR Phase I 2019 Department of DefenseAir Force -
Wave-Optic Propagation Computation Enabled by Machine Learning Algorithms (WOPA)
SBC: Luminit LLC Topic: AF18BT004To address the U.S. Air Force need for Developing innovative wave-optics Propagation methods to model laser systems that are faster, efficient and more accurate, Luminit, LLC, and University of Southern California (USC) propose to develop Wave-Optic Propagation Computation Enabled by Machine Learning Algorithms (WOPA). The proposed algorithms will be based on cutting off redundant frequencies upon ...
STTR Phase I 2019 Department of DefenseAir Force -
Regional Radio Frequency Attenuation and Interference Monitor (RF-AIM)
SBC: Silvus Technologies, Inc. Topic: AF18BT005Silvus Technologies and the University of California Los Angeles propose a system design and a rapid development path for the Regional Radio Frequency Attenuation and Interference Monitor, or ‘RF-AIM’. RF-AIM is intended to provide continuous wide area awareness of RF spectrum availability in the presence of arbitrary interference and attenuation from natural or man-made causes. The t ...
STTR Phase I 2019 Department of DefenseAir Force -
Carbon Nanotube FET Modeling and RF Circuit Simulation
SBC: Electronics of the future, Inc.. Topic: AF18BT006The project will develop and validate a geometry scalable CNTFET compact model for HF circuit design and extract the model parameters from the measured characteristics of the fabricated devices. The ballistic and quasi-ballistic transport, quantum and parasitic effects will be accounted for the predicted performance will be compared to 130 nm RF Si-CMOS to determine the conditions for breaking eve ...
STTR Phase I 2019 Department of DefenseAir Force -
Multiphysics Modeling of Dynamic Combustion Processes Using Pareto-Efficient Combustion Framework
SBC: STREAMLINE NUMERICS, INC. Topic: AF18BT010The objective is to develop zonal multi-physics capability for turbulent combustion simulations. The foundation of the proposed work is a novel Pareto-Efficient Combustion (PEC) framework for fidelity-adaptive combustion modeling. The PEC model utilizes a combustion submodel assignment, combining the low-cost flamelet-based models with the more expensive finite rate chemistry models where necessar ...
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 -
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 -
Virtual Reality for Multi-INT Deep Learning (VR-MDL)
SBC: Information Systems Laboratories, Inc. Topic: AF19AT010Recent advances and successes of deep learning neural networks (DLNN) techniques and architectures have been well publicized over the last several years. Voluminous, high-quality and annotated training data, or trial and error in a realistic environment, is required to achieve the promised performance potential of DLNNs. Unfortunately for DoD and/or Intelligence Community (IC) applications of mult ...
STTR Phase I 2019 Department of DefenseAir Force