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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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Calculation of thermal and optical properties of glass, windows, and shades. Calculational code only, no GUI. The software hosted at this repository is one out of five repositories that make up this entire project. The others can be found at the following DOIs: 10.11578/dc.20190522.1, 10.11578/dc.20190522.2, 10.11578/dc.20190522.5, and 10.11578/dc.20190524.1.
Calculation of thermal and optical properties of glass, windows, and shades. Calculational code only, no GUI. The software hosted at this repository is one out of five repositories that make up this entire project. The others can be found at the following DOIs: 10.11578/dc.20190522.1, 10.11578/dc.20190522.2, 10.11578/dc.20190522.4, and 10.11578/dc.20190524.1.
Calculation of thermal and optical properties of glass, windows, and shades. Calculational code only, no GUI. The software hosted at this repository is one out of five repositories that make up this entire project. The others can be found at the following DOIs: 10.11578/dc.20190522.1, 10.11578/dc.20190522.2, 10.11578/dc.20190522.4 and 10.11578/dc.20190522.5.
QuickView PRO (QVPRO) is similar to QuickView but designed to focus on analysis. QuickView was designed for visualization only, adding analysis capabilities later. This made QuickView complicated when using it as an analysis tool. QVPRO uses the same analysis algorithms in a more streamlined workflow and has a user friendly GUI. QVPRO provides the unique capability of analyzing Photonic Doppler Velocimetry (PDV) data records from different PDV systems and still allows for processing hundreds of PDV data records in a practical manner.
Exploit, Malware and Vulnerability (EMV) is a way for users to create and use their own scoring schema against various configurations they might be scoring cyber issues against. This application was created to take the EMV process and develop a GUI to accomplish this task. EMV application is customizable and configurable, interfaces with STIX objects and allows exporting scored objects.
Based on [1], XRFtomo brings together a variety of image processing tools used for preparing, processing and reconstructing 3D renditions of samples imaged using a synchrotron-based x-ray fluorescence (XRF) microprobe or nanoprobe at the Advanced Photon Source (APS). This software bridges the gap between data acquisition and visualization by providing tools to adjust for misalignment in the imaging process and tools for running reconstructions[2], all with the use of a GUI or command line. XRFtomo accepts .h5 files processed through MAPS[3] and it outputs reconstructed cross-sections, projections, sinograms, metadata, and a configuration file with last-used parameters for rapid processing the next time the program is launched. These images serve as inputs for other 3D visualization software for generating volumetric renderings and animations.
P Finder is written in C# and has been tested in multiple 64-bit Windows environments (Windows 7/8/Vista). It has a user-friendly graphical user interface (GUI) that allows for intuitive RNase P RNA identification and/or annotation. The user can select from four search criteria including the use multiple threads. In addition, the user can determine what display data they wish to incorporate in the output such as: bitscore, E-value, percent ID, start location, end location, the strand in which the sequence is located, and of course the sequence itself. P Finder is the only available algorithm that is capable of not only identifying the RNase P RNA for annotation but also differentiating among the five different RNase P RNA structural types (A, B, C, M, and T) with the option to select these data types for display in the final output.
fuelcell is a Python package designed to standardize and streamline the analysis of electrochemical data. This package includes modules for data processing and data visualization, as well as a graphical user interface (GUI) for interactive use.
Intuitive GUI for manipulating microscope stages, allowing to align crystallographic data with stages, allowing to align crystallographic data with stage coordinates and microscope images. Simulates kinematic diffraction patterns and Kikuchi line patterns. Simulated patterns can be displayed as overlay to actually measured data, allowing manual fingerprinting and angular alignment. Crystallographic data is fed to the program in form of CIF (crystallographic information file) files, which are available from many databases and cover virtually all crystal structure ever reported in any journal. Actual goniometer scales can be linearized by lookup tables, program can be used with any microscope goniometer, double tilt and tilt-rotation type. Software requirements: Win32 platform (XP); Compiler/Version: Borland C++ Builder 5; Type of files: Executable modules; Hardware requirement: PC
The Building Efficiency Targeting Tool for Energy Retrofits (BETTER) V.1.0 web application identifies cost-saving energy and emissions reductions in buildings and portfolios, without site visits or complex modeling. With minimal data entry, BETTER benchmarks a building's or portfolio's energy use against peers; quantifies energy, cost, and greenhouse gas (GHG) reduction potential; and recommends energy efficiency measures for individual buildings or portfolios, targeting specific energy savings levels. The source code of BETTER's modular, cross-platform analytical engine has previously been disclosed (2019-001) and is available on GitHub and can be adopted, redeveloped, and redistributed freely under an open-source license, allowing users to incorporate BETTER's analytical capabilities into their own software platforms and tools. The BETTER V.1.0 web application, developed with the Django web-framework and the Model-View-Controller (MVC) architecture being disclosed here, provides a graphical user interface (GUI) for any user to view the software tutorials, download and upload a data entry template, configure and run the BETTER analyses, and view the final analytical reports.
Sequential Training ToolKit, or STTK, is a software toolkit plugin for the Unity development platform that enables software developers to easily develop structured Sequential Training applications for gaming and extended reality (XR) environments. STTK is architected to easily import the toolkit as a plugin for the Unity platform and then interact with the graphical user interface (GUI) for drag-and-drop functionality. STTK also includes easy add-on plugins for Prefabs and auto-builds a State Machine. Sandia National Laboratories is a multimission laboratory managed and operated by National Technology & Engineering Solutions of Sandia, LLC, a wholly owned subsidiary of Honeywell International Inc., for the U.S. Department of Energy’s National Nuclear Security Administration under contract DE-NA0003525. SAND2021-3059 O
The Menu Framework is a reusable Extended Reality multi-level menu system for the Unity Development Platform. The menu structure is architected for reusability to suit whatever need the developer may have for a multi-level, reusable menu framework. Menu Framework's architecture, GUI, and functionality are based on the paper "Extended Reality for Enhanced Training and Knowledge Capture" (SAND2020-2361C). This tool uses the Microsoft Mixed Reality ToolKit (MRTK) built in functionality to provide a suite of functionalities including bounding box, follow me, minimize, maximize, settings, and help commands. Sandia National Laboratories is a multimission laboratory managed and operated by National Technology & Engineering Solutions of Sandia, LLC, a wholly owned subsidiary of Honeywell International Inc., for the U.S. Department of Energy’s National Nuclear Security Administration under contract DE-NA0003525. SAND2021-1507 O
A graphical user interface (GUI) that helps analyze data from coincidence Doppler broadening positron annihilation spectroscopy. It is a quick tool to rapidly reduce large data and conveniently analyze multiple datasets.
SAND2021-3052 O CUBIT SDK is a software development kit for customizing the CUBIT software. The SDK provides the ability to customize the CUBIT GUI and to program custom commands to add to the CUBIT application. The SDK also provides the ability to integrate CUBIT into another application. Sandia National Laboratories is a multimission laboratory managed and operated by National Technology & Engineering Solutions of Sandia, LLC, a wholly owned subsidiary of Honeywell International Inc., for the U.S. Department of Energy’s National Nuclear Security Administration under contract DE-NA0003525.
A new version of the verification tool ExactPack, 1.7.0, includes three new solvers: A Radshocks solver, Riemann solver and an Elastic-Plastic Piston problem solver. The code has been refactored to work with Python 3. All Fortran code has been removed and solvers implemented in Fortran have been re-implemented in Python where necessary. All unit tests have been converted to use the Pytest format and all the GUI, CLI and verification analysis code has been removed.
This software is used to process the raw data from the GridSweep instrument, a device developed under subcontract by McEachern Laboroatories for a DOE GMLC project. The software scrubbs, demodulates, and transforms point on wave voltage timeseries data into frequency/voltage amplitude/time data. It also has a GUI that allows for user selection of processed experimental data and graphing in heatmaps or 3-D plots. It was created alongside the GridSweep instrument as a part of the same project and is required to be open-source.
Operational Forecasting of Induced Seismicity (ORION) is an open-source toolkit developed as part of the US Department of Energy SMART and NRAP programs. ORION is designed to help both expert and non-expert users understand the seismic hazard at a site. This tool analyzes how the seismic hazard evolves during injection of fluid, and can be used to identify potential mitigation strategies for observed or forecasted seismic activity. ORION is built using Python, and has an optional GUI where users can easily configure model parameters, evaluate temporal and spatial forecasts, and inspect key data (seismicity, fluid injection, pressure models, etc.).