Award Data

Virtual EM is proposing a method to achieve orders of magnitude improvement in computational efficiency in full-wave CEM codes by using high-order curved elements. Virtual EM’s own commercial product VirAntenn™ will provide the CEM setting for both developing and implementing the new capability in Phase I and Phase II, respectively. Using multi-wavelength long cells with high-order basis forms ...

This STTR Phase I project proposes to develop innovative heterojunction quantum optical switchable diode for quantum technology applications and quantum technology hardware developers. To eliminate technological barriers, we are teaming with the University of Maryland College Park (STTR-partner) to support feasibility studies and demonstrate electronically switchable 2D quantum Schottky devices. T ...

DoD has a critical need for protecting sensitive data to make sure that only the intended, trusted programs or parts of programs can access the data. This protection must be also effective when data is loaded into memory while being processed by software. Lately, the side-channel attacks which are based on information gained from the implementation of a computer system rather than exploiting algor ...

The overall goal of this STTR Phase I project is to develop a concept to mitigate the effects of motion/vibration for a shipboard material extrusion additive manufacturing (AM) system.  NAVSEA has been installing advanced manufacturing equipment, including 3D printers, onboard ships in support of shipboard operations and to evaluate performance of the equipment in shipboard environments and in re ...

Modern US Navy ships and submarines are configured with an ever-increasing level of automation, including state-of-the-art embedded wireless sensors that monitor vital system functions. However, sensor nodes have the potential to serve as targets for cybersecurity attacks or be susceptible to corruption through accidental or malicious events. To address these shortfalls and minimize vulnerabilitie ...

Navy is developing the concepts and methods to leverage Machine Learning (ML) techniques for the maintenance decision-making on condition-based maintenance plus (CBM+) platform. Effective health monitoring for condition-based and predictive maintenance requires intelligent sensor selection and placement, and context-aware interpretation of sensor data to detect the many possible fault modes. Moreo ...

Social media platforms have enhanced many communities by facilitating online development of relationships, fostering collaboration, connecting friends and supporting activism. However, these platforms are also environments for people to bully and spread hate. Furthermore, adversaries of the United States and its allies have weaponized social media to spread disinformation. Intelligent Automation, ...

An AI-based algorithm is being proposed to increase ADC linearity by 10dB. Neural Nets will be investigated in conjunction with models of spurs to accomplish the task.

Team Trek10 is comprised of Trek10 Inc. along with the University of Notre Dame (ND) to provide Cloud Enablement Curriculum (CEC) to satisfy Air Force and Digital University concerns surrounding the teaching, training, enabling, and validating cloud computing skills across the Air Force. Team Trek10 will leverage its advanced SME background in the Amazon Web Services (AWS) cloud as well as online ...

Despite decades of experimental and theoretical studies cyclic fatigue failure remains one of the most critical challenges for engineering as it can occur without any indication of impending failure. More than half of mechanical in service failures are due to cyclic fatigue resulting in unanticipated and significant costs. Metallurgical Acoustic Research Solutions, LLC (MARS, LLC) in collaboration ...