Award Data

The most critical component of any modern enterprise is effective use of its human resources. The rise of productivity-boosting applications and wearable sensors has provided individual users with data-driven insights into their own effectiveness. Despite these advancements there has not been a corresponding rise in tools for evaluating and improving the effectiveness of teams as a whole. New wear ...

The goal is to develop a volatile odor detector using mammalian olfactory receptors (ORs) integrated with metal-oxide-semiconductor (CMOS) nanoelectronic circuits. The Army has urgent need for cost-effective odor sensing for novel biological materials integrated with inorganic devices to sense chemical and biological agents. However, e-noses still do not possess the dynamic range and selectivity o ...

Navitas will collaborate with the University of Maryland group to develop a flexible microporous Li metal anode. The proposed porous anode will reduce Li dendrite growth via its built-in porosity and increase rate capability via its high surface area. It will enable a conformal, safe, and light weight lithium metal batteries as soldier portable power devices. The Phase I project will demonstrate t ...

Training can now be delivered on a large scale through emerging platforms, but training must be engaging to be effectively utilized. Key to providing training that makes a difference in the field is an understanding of how to induce high levels of engagement during learning and the ability to objectively assess engagement in real-time so that interventions can be tailored during training to optimi ...

The technical objectives of this proposal are: 1) demonstrate a single-element, 4.6 micron-emitting quantum-cascade-laser (QCL) with > 40 % continuous-wave (CW) wallplug efficiency (WPE) at room temperature; (2) perform a comprehensive simulation to achieve a design for a monolithic QCL operating in a single spatial mode to 10 W CW output power; 3) perform a thermal-management analysis for the des ...

Additive manufacturing is a disruptive new manufacturing paradigm that hold tremendous potential for creation of novel designs and introduction of novel new alloy systems. However, much of this potential remains unrealized due to a lack of robust material properties databases. Accurate calibration of materials models and robust part qualification and certification regimes both will require massive ...

Optically pumped magnetometers provide very high performance but they cost tens of thousands of dollars, and they are large and power hungry. Recently we successfully developed and commercialized laser pumped magnetometers with size, weight and power consumption that is an order of magnitude below current state-of-the-art without sacrificing performance. In this project, the focus will be on produ ...

Field programmable gate arrays (FPGAs) are becoming increasingly critical components in advanced electronic systems. However, limited research has been applied to identifying critical vulnerabilities that could be present in the designs deployed on these FPGAs. The risk is further increased by the use of 3rd party intellectual property in many designs.GrammaTech is proposing to develop a Trust ver ...

Evidence-based guidelines derived from the learning sciences literature can be applied to training-requirements decisions. However, accessing the state-of-the-art in the learning sciences and applying its lessons to specific training design and analysis questions can be difficult, especially for those not already familiar with the learning sciences. ARCHIMEDES, the software tool proposed in this e ...

Automatic Speech Recognition (ASR) allows trainees to practice verbal communication skills in representative training environments without the need for human role players. However, these technologies have yet to become a feature of most training systems. Building on Phase I work, SoarTech along with our academic partners at UC Davis, proposes developing Soliloquy, a novel interface that allows non ...