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Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.

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At least 1,549 records · Page 86

Microgravity Science Glovebox (MSG)

The Microgravity Science Glovebox (MSG) is a research facility located in the Destiny module on the International Space Station (ISS). This facility was designed to accommodate small science and technology experiments in a “workbench” type environment. Because the facility’s working volume is enclosed and held at a negative pressure with respect to the crew living area, the requirements on the experiments for containment of small parts, particulates, fluids, and gasses in the low-gravity Space Station environment are substantially reduced. The concept allows scientific flight hardware to be constructed in close parallel with bench experiments developed in ground-based laboratories. The facility is ideally suited to provide accommodations for exploratory-type investigations that are necessary to gain an initial understanding of the role of gravity in the physics associated with new research areas. Once experiments are transported to the International Space Station the crew installs the experiment hardware in the MSG and configures it for operations. Depending on its design, the actual experiment hardware can be operated either by the crew or by the ground-based investigator through two-way real-time data links. Images can be viewed through the several MSG video cameras, or cameras embedded in the experiment.

containment↗

Considerations for Using Autonomous Flight Termination Software in Crewed Launch Vehicles

Autonomous flight termination systems (AFTS) are being progressively employed onboard launch vehicles to replace ground personnel and infrastructure needed to terminate flight or destruct the vehicle should an anomaly occur. This automation uses on-board real-time data and encoded logic to determine if the flight should be self-terminated. For uncrewed launch vehicles, FTS systems are required to protect the public and governed by the United States Space Force (USSF). For crewed missions, NASA must augment range AFTS requirements for crew safety and certify each flight according to human rating standards, thus adding unique requirements for reuse of software originally intended for uncrewed missions. This bulletin summarizes new information relating to AFTS to raise awareness of key distinctions, summarize considerations and outline best practices for incorporating AFTS into human-rated systems.

Avionics↗

Autonomous Drone Integration in Prescribed Fire Operations

With the surge in wildfire frequency and severity, the risk to firefighters, communities, and forests has escalated dramatically. Climate change and increased amounts of fuel have intensified these challenges, making wildfire management more important than ever. Prescribed burns, a controlled manner of burning land, are a crucial strategy for wildfire prevention, ecosystem management, and forest health. Nonetheless, traditional methods of implementing prescribed burns are labor-intensive, slow, and risk-laden due to human involvement. Our innovative approach leverages autonomous drone swarms to revolutionize prescribed burning methods. These advanced drones collaborate to ignite fires strategically, gather real-time data, and suppress sections of the fire as needed. By minimizing human proximity to the flames, our solution has the potential to significantly enhance operational efficiency and safety.

UAV systems↗

Charged particle detectors with active detector surface for partial energy deposition of the charged particles and related methods

A radiation detector is disclosed. The radiation detector comprises an active detector surface configured to generate charge carriers in response to charged particles associated with incident radiation. The active detector surface is further configured with a sufficient thickness for a partial energy deposition of the charged particles to occur and permit the charged particles to pass through the active detector surface. The radiation detector further comprises a plurality of voltage leads coupled to the active detector surface. The plurality of voltage leads is configured to couple to a voltage source to generate a voltage drop across the active detector surface and to separate the charge carriers into a plurality of electrons and holes for detection. The active detector surface may comprise one or more graphene layers. Timing data between active detector surfaces may be used to determine energy of the incident radiation. Other apparatuses and methods are disclosed herein.

47 OTHER INSTRUMENTATION↗

Bellerophon

The Bellerophon software system supports CHIMERA, a production-level HPC application that simulates the evolution of core-collapse supernovae. Bellerophon enables CHIMERA's geographically dispersed team of collaborators to perform job monitoring and real-time data analysis from multiple supercomputing resources, including platforms at OLCF, NERSC, and NICS. Its multi-tier architecture provides an encapsulated, end-to-end software solution that enables the CHIMERA team to quickly and easily access highly customizable animated and static views of results from anywhere in the world via a cross-platform desktop application.

Lingerfelt, Eric J↗

Beholder Intrusion Detection System Client

Malicious software is capable of hiding itself on a system using the system's own functionality (i.e. system call hooking, interrupt handling, etc.). Hiding requires the use of resources, enabling Beholder to detect the presence of malicious software from the changes in the timing data of critical system functions. The software installs a client, which continually sends analysis reports to a server. The server does post-processing and determines if infection has occurred on the client.

Ferber, Aaron E↗

Urban Traveler - Changes and Impacts: Mobility Energy Productivity (MEP) Metric

In response to the need to assess fundamental improvements in mobility as technology provides new modes, methods and opportunities in urban areas to connect people with goods, services and employment, a mobility-energy productivity (MEP) metric has been developed. The MEP metric fundamentally measures the potential of a multi-modal system to connect people to a variety of services and activities that define a high-quality of life. The MEP metric is measured relative to the cost, convenience and energy needed to provide connectivity. Fundamentally derived from accessibility theory, the MEP metric advances practice by using readily available travel time data (either from web-based APIs or outputs from an urban transportation model) combined with established parameters that reflect the cost, and energy intensity of various travel modes, along with relative frequency of activity engagement. The construction of the MEP metric allows for aggregation and disaggregation to the appropriate spatial, modal, and trip purpose resolution, as analysis needs dictate. The MEP metric could be used to compare alternative futures related to technology, infrastructure investment, or policy, providing a much needed tool for planners, researchers, and analysts.

30 DIRECT ENERGY CONVERSION↗

Dynamic signature generation from keystroke dynamics

Described herein are various technologies pertaining to extracting cryptographic keys from user behavioral biometrics, specifically keystroke dynamics. Such cryptographic keys can be used for, among other things, user authentication throughout computer sessions. Keystroke dynamics are timing data indicating when keys were pressed and when they were released.

97 MATHEMATICS AND COMPUTING↗

Anatomical Fraction segmentation in the biomass bales

The U.S. Department of Energy Bioenergy Technologies Office (BETO) is committed to the development of sustainable, nationwide, commercial biofuel production to displace petroleum-derived fuels, increase domestic energy production, and encourage the creation of a domestic bioenergy and bioproducts industry. Operating a commercial-scale bioenergy operation requires significant technological advancements for determining biomass feedstock quality during the preprocessing stage. Usage of non-food feedstocks- e.g., corn-stover, pine residue, and forest residue - at the biorefineries reduces strain on the food supply chain. But the non-food feedstock heterogeneity- physical size, shape, and chemical composition-poses a significant challenge during milling, conveyance, feeding, and biofuel conversion processes. 3D X-Ray imaging (CT) is capable of distinguishing material features by detecting density and compositional differences. But the inherent complexity introduced during harvesting and bailing makes the reconstruction and interpretation of baled biomass materials from x-ray data time consuming, laborious, and expensive. Feedstocks are low-density materials that produce small contrast differences in the x-ray images. This paper focuses on using the shape and texture properties, using 3D image processing techniques like 3D skeletonization, directional statistics to characterize and extract volumetric content of the different tissue samples in the biomass bales.

09 BIOMASS FUELS↗

In Stream Monitoring of Off-Gasses from Plutonium Fluorination

Technology enabling real-time analysis is currently being developed to assess and advance processes used for the fluorination of actinides, which have increasing demands in the fields of forensics and molten salt reactor applications. Well established methods of fluorination use HF, a toxic and corrosive gas, which greatly limits materials of construction for probes and interfaces and is typically incompatible with detectors at greater than part per million quantities. The technology being developed utilizes Raman spectroscopy interrogation of the off-gas stream, providing detailed instantaneous process information in conditions up to 100% HF. The real-time data not only provides detailed reaction information, but also allows for a reduction, via process optimization, in the use of HF benefitting worker health and safety, minimizing waste, and prolonging equipment life.

PuF4, actinide fluorination, Raman↗

Preparation for a Measurement of Charge Asymmetry in the Bethe-Heitler Process

We have prepared a measurement of the energy asymmetry in wide- and medium-angle electron/positron pair production off protons and heavy targets. This asymmetry is caused by the interference between the first- and second-order Born diagrams and the Compton scattering diagram. It directly probes aspects of QED, as well as providing a direct measurement of the real part of the Compton amplitude. It will be conducted at the HI??S facility at Duke University, using a 60 MeV photon beam. This dissertation serves as documentation of the preparation stage of the Bethe-Heitler experiment. The major was the recommissioning of the vertical drift chambers previously used in the Q-weak experiment at the Jefferson Lab. Cosmic test runs were conducted, drift time data were collected and efficiency plateaus were measured. We made modifications to the JLAB Hall A analyzer to suit the geometry and drift characteristics of these wire chambers. The analyzer was used for the reconstruction of the trajectories of cosmic ray test runs with the results confirmed by direct measurement of trigger geometry. Spatial and angular resolution is estimated to ~300?? and 0.17° respectively. Geant 4 simulations with generated Bethe-Heitler pairs satisfying theoretical differential cross sections. It was used to check detector acceptance, optimize apparatus layout, and estimate measurable energy asymmetry. The measurable asymmetries from electron/positron pairs with polar angles around between approximately 5° and 8°, azimuthal angles differing by 180°, and energy differing by approximately 9 MeV to 15 MeV are predicted to be above 10%. The kinematics of primary vertices are reconstructed using the data from wire chambers in the simulation. The energy resolution is determined to be better than 1MeV.

Chen, Haoyu↗

DETAIL Component Scaling and Methodology Comparison

The purpose of this study was to develop a process to convert input signals from one facility into another by reflecting geometric and environmental settings. The Dynamic Energy Transport and Integration Laboratory (DETAIL) is a research facility in development. Its aim is to emulate the daily interactions among power production industry systems and receive real-time data from those systems as inputs. To convert signals and ensure that the temporal sequences and magnitudes reflect laboratory settings, the ability to scale and project data is essential. To demonstrate this ability, Dynamical System Scaling (DSS) and Hierarchical Two-Tiered Scaling (H2TS) (methodologies that enable systems to scale and project or extrapolate data sets to desired environments while conserving the observed behavior based on first principles) were applied to DETAIL’s thermocline thermal storage system in the Thermal Energy Distribution System (TEDS) facility and solid-oxide electrolysis cell in the High Temperature Hydrogen Electrolysis (HTHE) facility. Both thermocline and electrolysis cell systems were successfully scaled, and test cases were conducted to generate a doubly accelerated energy charge and discharge in reference to past experimental data from the facilities. The research results represented a case for the thermocline system that required signals to be accelerated without altering the stored energy. To enhance the quality of the accelerated data, error propagation analyses were conducted on DSS post-processing terms to determine the consequences of raw-data-associated errors.

08 HYDROGEN↗

Jefferson Lab Tritium Program

Electromagnetic probes of few-body nucleon systems play a pivotal role in our attempts to understand the structure of both nuclei and the protons and neutrons that comprise them. Of particular interest, are light nuclei where, among other motivating factors, models are more easily developed. The simplest asymmetric nuclear system is the A=3 system. While experiments involving 3He are relatively common, the combined study of the mirror nuclei 3He and 3H can provide much deeper insight. This provided the onus for the development of a tritium target system. After considerable effort the Jefferson Lab Tritium Program became operational with first beam in December of 2017. Since that time, data have been successfully collected for two experiments with two more now in process and expected to be completed by late 2018. These experiments range in scope from the study of Short Range Correlations to the Hypernuclear ?N interaction to the A=3 EMC effect and ratio of u/d in the nucleon. In this talk, the challenges of working with tritium and the development of the tritium target system are presented. Selected preliminary results and target performance will also be discussed.

Meekins, David↗

Operation and Process Control Development for a Pilot-Scale Leaching and Solvent Extraction Circuit Recovering Rare Earth Elements From Coal-Based Sources

The US Department of Energy in 2010 has identified several rare earth elements as critical materials to enable clean technologies. As part of ongoing research in REEs (rare earth elements) recovery from coal sources, the University of Kentucky has designed, developed and is demonstrating a ¼ ton/hour pilot-scale processing plant to produce high-grade REEs from coal sources. Due to the need to control critical variables (e.g. pH, tank level, etc.), process control is required. To ensure adequate process control, a study was conducted on leaching and solvent extraction control to evaluate the potential of achieving low-cost REE recovery in addition to developing a process control PLC system. The overall operational design and utilization of Six Sigma methodologies is discussed. Further, the application of the controls design, both procedural and electronic for the control of process variables such as pH is discussed. Variations in output parameters were quantified as a function of time. Data trends show that the mean process variable was maintained within prescribed limits. Future work for the utilization of data analysis and integration for data-based decision-making will be discussed.

coal, rare earth elements, pilot plant, automation↗

Application of On-Line Monitoring and Real-Time Characterization of Low Level Waste Samples from Hanford Tanks

Waste and treatment stream characterization is an essential part of safe, efficient, and cost-effective processing of Hanford materials. The demand for materials characterization, including chemical, radionuclide, and physical attributes during waste management, transfer, and staging operations in the Hanford tank farms, is expected to significantly increase as the U.S. Department of Energy Office of River Protection (ORP) progresses toward Hanford waste treatment and immobilization. The application of on-line monitoring can greatly improve operation timeframes and reduce costs by providing real-time data and supporting the reduction of necessary grab sample collection. Recently, our team applied Raman online monitoring and chemometric modeling to the supernate of Hanford tank 241-AP-105, and demonstrated the quantitative measurement of nine analytes within this waste. Application of this method has been expanded to additional Hanford tank wastes, AW-102 and AP-107. The performance of the process monitoring instruments and the accuracy of the chemometric models will be assessed. On-line monitoring results will be compared to anion results determined from the current standard, ion-chromatographic and inductively coupled plasma mass spectrometry methods. Comparisons of both determined values and uncertainties of results will be presented. Results will be shared with personnel working on flowsheet interfaces for the Direct-Feed Low Activity Waste mission at Hanford.

Lines, Amanda M.↗

Radiological Surveys of 1600 km of In-Use Roads in Ichinoseki City, Japan Following the Fukushima Dai-ichi Reactor Accident - 17467

In March 2011, the Japanese Fukushima Dai-ichi nuclear reactor was damaged by a 9.0 magnitude earth quake and subsequent 15-meter tsunami. As a result of the nuclear reactor accident, radioactive material from the nuclear reactor and fuel storage pool (primarily radioactive iodine and cesium) was released to the atmosphere and carried by the wind as a plume that spread radioactive contamination across roughly 13,000 square kilometers of the countryside. Amec Foster Wheeler's Radiological Services and Engineering Group mobilized a team of Engineers and Operators to Japan to implement a radiological survey (scan) of roads located in Ichinoseki City, Iwate Prefecture, north of Fukushima, using three of Amec Foster Wheeler's Orion ScanPlotSM advanced radiological scanning systems. The survey was performed in less than two months while the roads were kept open for public use, and was conducted with motorized scooters and battery-assisted bicycles. The survey was performed with operational support from Obayashi, Inc., a large Japanese construction company headquartered in Tokyo. Over a seven-week period, the ScanPlotSM systems covered approximately 1,600 kilometers of roads within Ichinoseki City and surrounding areas of Iwate Prefecture. ScanPlotSM systems recorded GPS locations and radiation dose rate levels from Cs-137 on the road's surface at one-second increments during the survey and displayed the dose rate reading in micro-Sieverts per hour (μSv/h) on the back of the bicycle or motor scooter in real-time on a results monitor so that members of the public would be able to see real-time data. Radiological survey data was provided to Obayashi daily for development of survey result maps for the city. (authors)

21 SPECIFIC NUCLEAR REACTORS AND ASSOCIATED PLANTS↗

Efficient and Robust Jet Tagging at the LHC with Knowledge Distillation

The challenging environment of real-time data processing systems at the Large Hadron Collider (LHC) strictly limits the computational complexity of algorithms that can be deployed. For deep learning models, this implies that only models with low computational complexity that have weak inductive bias are feasible. To address this issue, we utilize knowledge distillation to leverage both the performance of large models and the reduced computational complexity of small ones. In this paper, we present an implementation of knowledge distillation, demonstrating an overall boost in the student models' performance for the task of classifying jets at the LHC. Furthermore, by using a teacher model with a strong inductive bias of Lorentz symmetry, we show that we can induce the same inductive bias in the student model which leads to better robustness against arbitrary Lorentz boost.

72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS↗

Improving Effectiveness of Waste Management Processes with Information and Communications Technology (ICT) - 19524

Improving the effectiveness of waste estimation, tracking, management and disposal processes is a key objective for Waste Management. Project Teams face common challenges producing waste estimates that are accurately accounted for in the project plan, tracking and reporting waste record actuals against the estimate, and communicating the status of waste through the organization. These challenges impact the effectiveness of waste management from a cost and schedule perspective, which can have a significant impact on the bottom line and on future business. By leveraging information and communications technology (ICT) waste management project teams can create a mobile workforce that closes the gaps between creating estimates and tracking actuals against estimates by gathering real time data at each step in the process. This results in significant gains on schedule and cost, improved communication and visibility across the project team, and an improvement in the overall effectiveness of waste processing and disposal procedures. (authors)

12 MANAGEMENT OF RADIOACTIVE AND NON-RADIOACTIVE W↗