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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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Assessing Extreme Value Analysis to predict rare events from the Global Terrorism Database.
Abstract not provided.
Optimized Transactional Data Structure Approachto Concurrency Control for In-Memory Databases
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Multi-Fidelity Aerodynamic Databases for Efficient Representation of Hypersonic Design Spaces
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UNF-ST&DARDS: A UNIQUE TOOL FOR SPENT NUCLEAR FUEL CHARACTERIZATION AND LONG-TERM FUEL DATABASE MANAGEMENT
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Baseline Characterization Database Verification Report – 2114 Billet A20568
This ECAR provides the results of a validity evaluation of the physical and mechanical property data collected on a billet of nuclear-grade graphite (i.e., 2114 Billet A20568) in support of the ART Baseline Graphite Characterization Program.1,2 Millions of raw data points have been collected during testing and quantification analyses for these billets. The summary scalar property values and supplementary traceability data are collected into comprehensive spreadsheets. Data sets are composed of single billets of graphite for any given grade, organized by mechanical test-specimen type, and further subdivided into individual spreadsheet tabs according to the specific test or evaluation being performed. A direct analysis of properties was not conducted, and this report does not provide information on the validity or performance characteristics of the graphite itself. Rather, this report is intended as a verification of the completeness of actual data collected in accordance with PLN-3467, “Baseline Graphite Characterization Plan: Electromechanical Testing,”3 and their representation of the measurement and test results with sole regard to the graphite billets under evaluation.
Advancements in the XMAT Database and Techniques for Data Analysis
XMAT Workshop 2022, Virtual, March 11, 2022
The Ice Particle and Aggregate Simulator (IPAS). Part II: Analysis of a Database of Theoretical Aggregates for Microphysical Parameterization
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Comparison of zirconium redistribution in BISON EBR-II models using FIPD and IMIS databases with experimental Post Irradiation Examination
The BISON code framework is utilized to model and analyze zirconium redistribution within UPuZr metallic fuels. The simulation results are compared against past experimental metallography data to validate the BISON code models. Various BISON models are implemented and compared to properly reflect the Zr present in past data.
Advanced Data Extraction to Support a Living Database
2022 Carbon Management Project Review Meeting, Pittsburgh, PA, August 15-19, 2022
An Updated Carbon Storage Open Database - Geospatial Data Aggregation to Support Scaling -Up Carbon Capture and Storage
2022 Carbon Management Project Review Meeting, Pittsburgh, PA, August 15-19, 2022
Formation and Interrogation of a Modeling Excel Database for Sorbent Preconcentrate with GC/MS.
Abstract not provided.
Industry Facing PV Degradation Prediction Tool and Database to Enable a 50 Year Life Module
The goal of this work is to create an online tool that can be used to search for degradation information and extrapolate PV module performance and durability to field exposure. A graphical user interface will aid in the understanding of the results. The prediction tool will be built modular and published open-source allowing users to expand on the existing framework.
Deploying a National Well Database to Support CS Reuse and Risk Work
Presentation for Carbon Management Research Project Review Meeting, Pittsburgh, PA, August 28-September 1, 2023.
Developing a National Structural Complexity Database for U.S. Saline Basins
For presentation at the 2023 FECM / NETL Carbon Management Research Project Review Meeting, Pittsburgh, PA, August 28-September 1, 2023
Developing a National Structural Complexity Database for U.S. Saline Basins
For presentation at the 2023 FECM/NETL Carbon Management Research Project Review Meeting, Pittsburgh, PA, August 28-September 1, 2023.
Creation of the XMAT Database & Leveraging Data Analytics
US-UK Energy Research Collaboration Workshop, Pittsburgh, PA, April 19-20, 2023