Award Data

Research is currently identifying new biochemical markers to help monitor cognition and stress in the human body and enhance human performance. Traditional biometric markers like heart rate, temperature, oxygen partial pressure, blood glucose, electrolyte concentration, and others have been correlated with cognition and stress states. However, the correlation is indirect. Molecular biomarkers with ...

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 ...

Developing knowledge-driven nanoelectronics for military applications requires understanding the fundamental physics that governs the behavior of the underlying material. Strongly correlated materials have very desirable properties such as interfacial superconductivity, ferroelectricity, ferromagnetism, and huge magnetoresistance, which make them an ideal set of candidates to integrate with semico ...

The development of a catastrophic optical damage model for quantum cascade lasers describing instantaneous laser damage at high optical power levels is proposed. The model will be validated by comparison to experimental data. Based on obtained results, changes to laser design and laser fabrication resulting in an increased damage threshold will be implemented. The work will ultimately result into ...

Virtual EM and Case Western Reserve University are teaming to propose a standoff cardiopulmonary sensing technology to aid remote monitoring of airman and others ' physiological state of health both in the field and in the office environments. While the pulmonary sensing unit could be operated meters away, the cardio signals are picked up in closer proximity to the body.

Locating 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 ...

The research objective of the proposed work is to increase the efficiency of the laser return of a Sodium Guide Star Laser (SGSL) reflected off the sodium layer for increased reliability and applicability of the artificial guide star technique. During Phase I, we will demonstrate the concept of maximizing the SGSL signal returns using numerical simulations that account for the effects of atmospher ...

Rotating Detonation Rocket Engines (RDRE)are being developed to take advantage of the near instantaneous heat release potential of detonation waves versus conventional deflagration-based chemical reactions in combustion applications. However, the detonation product environment is extreme and current instrumentation to measure wall / surface conditions within the detonation chamber are lacking. The ...

The objective of this research program is to develop an ultra-lightweight carbon nanotube-lithium metal (CNT-Li) hybrid anode to enable high energy density lithium ion cells. These CNT-Li anodes will be paired with carbon nanotube enhanced high areal loading (mAh/cm2) cathodes to achieve cell-level energy densities that exceed 400 Wh/kg at the cell-level and have the potential to exceed 500 Wh/kg. ...

In this STTR Phase I proposal, Kent Optronics (KOI) together with its partner, Rice University, propose to develop novel deep learning algorithms to perform machine vision tasks such as target recognition and tracking utilizing the direct measurements from a compressive hyperspectral imaging system. By skipping the hypercube reconstruction, this combination of hardware and software will allow real ...