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The Award database is continually updated throughout the year. As a result, data for FY23 is not expected to be complete until September, 2024.
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An Integrated Materials Informatics/Sequential Learning Framework to Predict the Effects of Defects in Metals Additive ManufacturingSBC: Citrine Informatics, Inc. Topic: N18AT013
In this project, Citrine Informatics and the ADAPT Center at the Colorado School of Mines propose to build an informatics-driven system to understand the effects of defects in additive manufactured parts. The entire history of each sample will be captured on this system; from specific printing parameters and details of precursor materials through to part characterizations and performance measureme ...STTR Phase I 2018 Department of DefenseNavy
Evidence-Based, User-Centered Design Process for Improvement of the Utility of the Surface Electronic Warfare Display SuitSBC: PACIFIC SCIENCE & ENGINEERING GROUP, INC. Topic: N11AT031
In Naval, surface electronic warfare (EW), visual displays form critical bridges between warfighters and the complex operational radio-frequency (RF) spectrum they must monitor and interpret. Surface electronic warfare operators and supervisors must monitor and interact with multiple, stove-piped display systems in order to perform their work. Further, the visual displays they employ are not desig ...STTR Phase II 2018 Department of DefenseNavy
SBC: ISSAC Corp Topic: N16AT009
During the Phase II effort, the ISSAC Team will investigate several objectives and questions posed in Phase I efforts, in order to best develop a draft specification for NGES MVDC DLI systems. This includes exploring notional and conceptual architectures and discerning thresholds for DLI parameters; exploring individual and hybrid protection plan technologies to drive performance requirements for ...STTR Phase II 2018 Department of DefenseNavy
SBC: COMBUSTION SCIENCE & ENGINEERING, INC. Topic: N17AT003
The ability to predict the ignitibility potential of a combustor at various operating conditions is not practical at this time due to the complexity of this process. Ignition within a gas turbine combustor is dependent on various parameters; including spark (or plasma) energy, flow conditions, fuel/air ratio, and fuel spray density. All these parameters must be properly predicted in order to effec ...STTR Phase II 2018 Department of DefenseNavy
SBC: MAPP BIOPHARMACEUTICAL, INC. Topic: CBD18A002
There are currently no vaccines or therapeutics available for Marburg Virus Disease (MVD). Given the specter of weaponization and the terriblemorbidity and high mortality rate of MVD, this represents a critical threat to the operational readiness of the Warfighter. While traditionalvaccines have proven to be a huge contribution to public health, they do have some limitations especially in the cont ...STTR Phase I 2018 Department of DefenseOffice for Chemical and Biological Defense
SBC: LR TECHNOLOGIES, Inc. Topic: DHP17A001
In this topic, we plan to design a vital EMF sensor to work under any conditions. The sensor will be integrated with smart clothing and using e-textile materials.STTR Phase II 2018 Department of DefenseDefense Health Agency
SBC: Space Micro Inc. Topic: MDA16T005
Improving capabilities of telemetry systems for next generation e.g. (MOKV) missile defense launch vehicles, kill vehicles, and test/target vehicles subsystems can transform operational testing of such systems and has the potential to increase capabilities of systems that rely on radio communications. As these systems, and their test scenarios become get more complex they will require unprecedente ...STTR Phase II 2018 Department of DefenseMissile Defense Agency
SBC: Intelligent Automation, Inc. Topic: N17AT022
To address the need of auto-extracting data relevant to significant events and to archive patterns, Intelligent Automation, Inc. (IAI) team proposes to continue developing a Scalable Event Extractor for Multi-Level Event Data and Pattern Archiving: SEE. The key innovations of our proposed SEE system are (1) a large class of analytics that extract valuable and important information from raw data, a ...STTR Phase II 2018 Department of DefenseNavy
SBC: HEAT, LIGHT, AND SOUND RESEARCH, INC. Topic: N17AT026
We propose development of an improved bottom database suitable for use in the frequency range of 1-10 kHz. Measured transmission loss (TL) and reverberation level (RL) will be jointly processed in building the database. The influence of the rough sea surface, rough seafloor, as well as subbottom heterogeneity will be accounted for during database generation. The rough sea surface will be character ...STTR Phase II 2018 Department of DefenseNavy
SBC: P & J ROBINSON CORP Topic: N18AT018
Protocols used for communication suffer bloat from a variety of sources, such as support for legacy features or rarely used (and unnecessary) functionality. Traditionally, the Navy subscribes to a blanket adoption of a standard protocol "as is". Unnecessary features are active and can be accessed by both internal and external systems creating security vulnerabilities. PJR Corporation's (PJR's) Pha ...STTR Phase I 2018 Department of DefenseNavy