Award Data

The variational two-electron reduced-density matrix (v2RDM) method provides an effective framework for computer modeling of the electronic structure of complex molecules and materials that exhibit strong correlation effects. In Phase I and Phase II of this STTR we have demonstrated that the GPU-accelerated implementation of the v2RDM-based complete active space self-consistent field (v2RDM-CASSCF) ...

Pulse voltammetry techniques, coupled with model-based analysis tools, provide a number of advantages for quantitative analysis of electrochemically active materials that govern the performance of batteries and fuel cells. In prior Phase I and II research, CFD Research developed and validated computational models in software that reads voltammogram data from laboratory instruments; predicts the re ...

Terrorist use of radioactive nuclear materials via nuclear and/or radiological dispersion devices (dirty bombs) is a serious threat. Therefore, it is crucial to detect proliferation of nuclear material. Critical challenges include: (a) high sensitivity detection of signature emissions from radioactive isotopes, and (b) cost-effectiveness for deployment of sensor networks across large storage facil ...

Recent advances in 3D structure printing and 3D direct printed electronics have widened the scope of possibilities for the Internet of Things (IoT). New near room temperature 3D direct ink writing (DIW) additive manufacturing (AM) printing processes allow many different type of sensors and they can be embedded anywhere in a structure, which offers several benefits. 1. Protection: sensors face degr ...

Scanning probe microscopy (SPM) is a technique used to detect near-field interaction when a sample is rater-scanned by a probe. Example include atomic force microscope (AFM) and scanning tunneling microscope (STM). It offers nanometric and atomic image resolution. In this field, an emerging technique, Near-Field Scanning Microwave Microscopy (SMM), utilizes microwave evanescent waves to attain the ...

Over the last decade the amount of data available from the internet, sensors and other sources has grown dramatically providing the opportunity to gain novel insights in many fields. Uncovering non-linear low dimensional structure in high-dimensional data (i.e., manifold learning), a key to summarization, remains a challenging problem which ultimately inhibits knowledge discovery. Intelligent Auto ...

Our nation’s warfighters require advanced armor to give them the best protection while allowing mobility to perform their missions. This proposal will develop two powerful tools to aid future body armor advancements. First, this research program will develop a statistical analysis software that will predict likelihood of impacts based on defined attack scenarios (i.e. rifle, distance and firing ...

For Robotic/Autonomous Systems (RAS) to be truly effective in the battlefield, they need to be integrated with intelligent decision-making capabilities. In particular, the following capabilities will help them dealing with the challenging real-world problems of off-road navigation: 1) Accurate terrain traversability assessment; 2) Optimal trajectory computation; and 3) Effective maneuver selection ...

Integrated Solutions for Systems, Inc. (IS4S) and teammate Auburn University (AU) propose to develop a PNT initialization system for dismounted soldiers. The proposed system will enhance warfighters’ ability to operate immediately in a GPS denied environments once their mission begins and has wide commercialization potential outside of DoD. In Phase I, the feasibility and expected benefits of in ...

The Tunable Active HEterodyne Terahertz Imager (TAHETI) system will use Terahertz Quantum-Cascade Lasers (QCL) combined with a Schottky diode detector for ultra-high dynamic range heterodyne imaging. Distributed feedback (DFB) QCLs with milliwatt power levels are engineered to emit at slightly offset frequencies, and are used as local oscillator and illumination for imaging. The QCLs will be down ...