Award Data

In Phase II of PLATO, we will develop a prototype plan and goal identification system that employs a rich model of domain actions and events, extracted automatically from a massive amount of real-world domain-relevant information, to model agent-specific action costs and to process sequences of agent actions and events, extracted from text, as an agent plan in progress. The system will be able to ...

Aret Associates and Oak Ridge National Laboratory (ORNL) propose an interdisciplinary effort to further develop and validate a robust, operational biomonitoring application that can process soil microbiome data to reliably detect episodic and low-level chronic contamination while maintaining low false alarm rate.The Phase II SBIR work will build upon the successful Phase I proof-of-concept demonst ...

Neutron coincidence counters are currently based on 3H technology. A worldwide 3He shortage plus the need for significant improvements in performance necessitate the development of a new class of neutron detectors. We propose the use of boron-coated straw

Deep Learning for standoff detection of Special Nuclear Material (DLeN) applies the same deep learning techniques that allow computers to beat human performance in image recognition and the game of Go to detecting Special Nuclear Material. Spectral analysis and signal processing can in some cases be augmented by the use of much larger neural nets that conduct much deeper analysis of features of th ...

Next-generation high-performance computing (HPC) hardware, such as the Intel Xeon Phi Knights Landing Many-Integrated-Core processor, provide new deep memory architectures that offer the promise of increased performance. The challenge in taking full advantage of this architecture is selecting which data structures will be placed in the high-bandwidth memory. Optimizing data structure placement in ...

DTRA uses High Fidelity Computer Codes (HFCC) to investigate weapon effects and techniques for countering Weapons of Mass Destruction (WMD). End-to-end HFCC simulations in support of the DTRA Agent Defeat Warfighter Capability will require calculations including multiple phenomena that occur in vastly different time scales (-sec to hours). As DTRA becomes increasingly reliant on computational mode ...

Infrasound and seismic measurements are used by DTRA and the DoD for nuclear test monitoring, terrorist blast forensics, battle damage assessment, and environmental monitoring. However, these long wavelength physical signals are typically recorded through single-point sensors or sparse low density arrays. As a result, the critical signals of interest are often corrupted or masked by noise or inter ...

In order to reduce DTRAs dependence on batteries and their associated logistics train, advanced power supplies, which are able to charge quickly and work in a wide variety of environmental conditions, and are reusable over many charge-discharge cycles without loss of performance, are greatly required. Lynntech proposes to develop safe, high energy, long-life (SHELL) solid-state ultracapacitors by ...

Supercapacitors have attracted considerable recent attentions due to their high-power density, and long cycle life. Unfortunately, the energy density of supercapacitors is too low to meet these applications requiring an energy supply for longer periods (hours or days). Storagenergy Technologies Inc. proposes to develop a superior all solid-state battery (ASSB) fabricated by additive manufacturing ...

To address the DTRA's need for a field deployable mass spectrometer for nuclear forensic analysis (NFA), Hedgefog Research Inc. (HFR) proposes to develop a new Field-Expedient Nuclear Isotope Characterization Spectrometer (FENICS), based on species-specific ionization and novel signal enhancement schemes. New system features in FENICS will enable rapid, on-site characterization of nuclear debris s ...