Award Data

Accurate simulation of nuclear power plant behavior is necessary for both engineering and training applications. An engineering grade simulator, used for design, safety analysis and operations, is characterized by high fidelity, computational power, lack of real-time capability, and user non-interactive environment. By contrast, a training grade simulator, used for operator training and education, ...

ABSTRACT: An experimental and computational effort is proposed to develop a data-driven experimentally-validated framework for analysis of plastically bonded energetic materials at meso and micro scales. A unique data-mining strategy and model reduction technology based on thermodynamics and manifold learning techniques and on nonlocal dispersive reduced order model will be devised. Reduced order ...

Redox flow batteries are a promising technology for electrical energy storage for renewable energy sources; however traditional redox flow batteries are limited in their use due to non-uniform pressure drops and mass transfer limitations, as well as high manufacturing costs related to the felt material costs for the electrode and component alignment challenges during manufacturing.General Statemen ...

In this program, Morton Photonics (MP) and its STTR partner Professor John Bowers and his research group at the University of California at Santa Barbara (UCSB) will develop two truly disruptive integrated laser devices: (1) A broadly tunable integrated laser with ultra-low linewidth, ultra-low relative intensity noise (RIN), and high output power; the Integrated Coherent Tunable Laser (ICTL), whi ...

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 ...

The feasibility for fusion as a practical energy source needs to be enhanced significantly by removing some of the restrictions that low-temperature superconductors put on the fusion magnet systems. This can be done by using high-temperature superconductors, allowing for much larger temperature margins, a higher magnet performance and less mechanical degradation during operation. There are curren ...

This Phase II project aims to assemble the key set of sensor modalities that are needed to reliably view the key process anomalies and properties of laser powder bed fusion. The research team will down-select from the Phase I sensors investigated and integrate the sensors into a sensor fusion software package that facilitates data collection and synchronization, and eventually feedback control of ...

The laser plasma accelerator (LPA) is a very promising technology for generating gamma rays for the detection of contraband bulk nuclear materials, but is currently limited by the rate at which the beam can be pulsed. Erosion of the capillary plasma channel is the main limiting factor and can be mitigated through the use of artificial diamond to construct the channel. Computational modeling and ...

This project will provide state-of-the-art predictive capabilities for simulating systems central to advancing the U.S. Army’s modernization priorities related to long-range precision fires and future vertical lift platforms. The goals of the project are to: (1) Produce geometry and meshing technologies that support the modeling and discretization techniques needed to explicitly track evolving/i ...

The DOE Office of Nuclear Physics (NP) seeks innovations that will advance our nation’s capability to perform nuclear physics research, and more specifically to improve DOE Nuclear Physics (NP) Facilities and the wider NP community experimental programs. For example, data acquisition (DAQ) for the Facility for Rare Isotope Beams (FRIB), currently under construction, will require considerable spe ...