Award Data

The goal of the proposed DTRA Phase I program is to develop a set a diagnostic tool to capture the evolution of aerosols and particulates ejected from liquid-filled containers impacted by fragments and shock waves in a detonation environment. Since these involve CWMD scenarios, the need is for optical diagnostics that are capable of providing accurate measurements at large standoff distances. Furt ...

This work aims to push the commercialization of perovskite crystals in a direction that is useful to the warfighter.  H3D will rely on Actinia, a startup company that is bringing the perovskite inventions from Northwestern to market to provide samples of perovskite.  Actinia will grow the crystals and fabricate the contacts and H3D will do final assembly and testing of the detectors.  H3D will ...

The TARgeting Distributed Sensors for Situational Surveillance (TARDIS3) program will study the feasibility of sensor-leakage techniques to enable explosive event detection without relying on friendly human or technological assets. Specifically, we propose placing targeted advertisements through public marketplaces that request and surreptitiously exfiltrate the sensor data needed to detect and lo ...

In this SBIR project, we will develop an efficient, low-cost, rad-hard imager of ionizing radiation (focusing primarily on gamma-rays during Phase I but also expanding to fast neutrons during Phase II) that has high angular (< 2°) and energy resolution (< 2% at 662 keV) that can be handheld (< 4 kg system mass) and has a low operating bias (< 200 V) for its sensing pixel elements. Current radiati ...

Spectral Labs Geiger-Müller Tube Replacement (GMTR) concept will exploit small. low-cost scintillators for a gross gamma counting sensor.  Since GMTR will require less production processing steps compared to GMTs, GMTR devices will be cost competitive to equivalent sensitivity compensated GMTs in full scale production.  The small crystal sizes projected will result in partial deposition of phot ...

The cybersecurity tool landscape is rapidly expanding and becoming more complex. It is becoming increasingly difficult for organizations to effectively manage all of the cybersecurity tools they utilize. This is due to the growing complexity of network environments, increasingly advanced and frequent attacks, an abundance of information being ingested from cybersecurity tools, and the demand for b ...

The Nuclear Logistics Technical Division (NLT) maintains databases and application services pertaining to the national nuclear stockpile. The sensitivity of this data necessitates careful and close monitoring for anomalous activities that could indicate a cybersecurity threat or other deviation from the normal operating environment. Virtualitics seek to apply anomaly detection methods to event and ...

TP Engineering personnel have extensive experience with electro-optic systems and high Pulse Repetition Frequency (PRF) Laser systems. We have detailed knowledge of Pockels cell systems enabling active gated imaging through foliage at PRF 100 kHz PRF. Such systems can dramatically improve and protect Geiger-mode LIDAR by both controlling the transmitter output and gating out unwanted return lig ...

The vision of Internet of Battlefield Things (IoBT) is where humans, machines, sensors, and autonomous systems will coordinate to execute missions, and do so in dynamic and sometimes ad hoc swarm configurations.  However, realizing such a vision is challenged in contested, degraded, or otherwise compromised A2/AD communications environments- even more concerning is that communication challenges a ...

The overall goal is to develop numerics-informed neural networks (NINNs) and DeepOnets for chemical reactions and for PDEs with spatial derivatives improve the computational efficiency of the chemical kinetics models for chemical weapon agents and simulants. Based on the first NINN developed by the Karniadakis’s group in 2018, which blends the multi-step time-stepping with deep neural networks, ...