ACORN: Autonomous Controls fOr Reactor techNologies
Autonomous control system for microreactors
ADAPT: Frequency-Based Monitoring for Industrial Process Control
Acoustic Data Analytics for Predictive Technologies (ADAPT)
ADREM: Analytical Data Processing Excel Macro
An excel macro package for summarizing large sets of elemental and isotopic analytical data, ideal for laboratories requiring efficient data manipulation and presentation.
AMMONOID: Advanced Methods for Manufacturing using Ontology and Numeric Objects for Iterative Design
Capture, validate, and transform manufacturing data into predictive models to build best practices faster.
Apollo: Tracking and Identifying Changes in Workflows
Workflow tracking and change identification tool for nuclear and industrial settings, offering image analysis and comparison features for enhanced monitoring.
Automated NVD Vulnerability Search to STIX Bundle Translator
Convert National Vulnerability Database searches into structured STIX data for enhanced security intelligence and analysis.
CATCH: Comprehensive Telemetry Analysis and Threat Intelligence Framework for Advanced Security
Collect, analyze, and report on anomalous telemetry data with the CATCH CLI and CGUI, integrating Neo4j and STIX 2.1 for standardized, actionable intelligence.
CDB: Coincidence Doppler Broadening Data Analyzer
A graphical user tool for rapid analysis of large data sets from coincidence Doppler broadening positron annihilation spectroscopy, enhancing productivity and data comparison.
DACKAR: Empowering System Engineers with Model-Based Insights on Equipment Reliability
DACKAR leverages advanced analytics and model-based system engineering to transform equipment reliability data into actionable insights, enhancing system health assessments in complex engineering environments.
DARE: Data Auditing for Reliability Evaluation
A Python library for evaluating the reliability of machine learning model predictions, analyzing training data relevance, and providing a reliability score, useful for ML-integrated control systems and real-time applications.
DEEP LYNX: Digital Engineering Data Warehouse
An open-source data warehouse supporting digital engineering projects, storing data in a graph-like format for complex dataset analysis and AI/ML integration.
DeepLynx Airflow Provider Package (DLAPP)
DLAPP facilitates seamless interaction with the DeepLynx data warehouse through Apache Airflow, streamlining data workflow management.
DeepLynx DAG Repository (DLDAGS)
DLDAGS simplifies data transformation and analysis workflows for DeepLynx users by providing ready-to-use Airflow DAGs for seamless integration with various data sources.
Faraday: Data Visualization for High-Temperature Electrolysis and Hydrogen Research
Transform Button Cell Data into Actionable Insights for Hydrogen Production
ICSD: Centralizing and Storing Data from ICS Modules
Industrial Control System Diagnostics (ICSD) Web Scraper
Ingest: Streamlining Data Uploads with Integrated Metadata for Enhanced Data Management
Ingest simplifies data collection and organization by offering a web platform for seamless uploads with essential metadata, enhancing project management and data analysis efficiency.
INLDAS: Scalable Data Acquisition and Processing System
Idaho National Laboratory Data Acquisition and Processing System (INLDAS)
MPHEAP: Materials Project High Entropy Alloy Properties
Adds a module to the Materials Project for predicting properties of nuclear materials.
NaPHthA: Quantifying Physical Health of Distribution Systems
Novel Physical Health Assessment (NaPHthA)
NodeMan: a node management tool for HPC clusters
NodeMan simplifies HPC node management by allowing administrators to build custom workflows using familiar command-line tools and flexible scripting.
NSTS: Automated NVD Vulnerability Search to STIX Bundle Translator
Convert National Vulnerability Database searches into structured STIX data for enhanced security intelligence and analysis
Optimizing Manufacturing Data: AMBER for Enhanced Digital Twin Integration
AMBER streamlines the structuring of advanced manufacturing data, enhancing digital twin applications through robust, ontology-based data integration.
Platform of Optimal Experiment Management (POEM)
The Platform of Optimal Experiment Management (POEM) leverages automated machine learning to streamline experiment design and accelerate the discovery of optimal solutions, enhancing research efficiency and output.
PySL: Neutron Spectrometric Data Post-Processing and Unfolding
Python software for processing neutron spectrometric measurements, offering a user-friendly interface and multiple unfolding algorithms for researchers.
Python-Based EXI Encoding and Decoding with CH4ESE
A streamlined Python solution for EXI format conversion.
ReGEAR: AR Gesture Recognition for Nuclear Facilities
Real-time gesture/action recognition software
REV-C: Rare Earth Element Value Chain Optimization Tool
Gain Comprehensive Insights into the Rare Earth Value Chain to Drive Strategic Decision-Making
ROUNDS: QR-Based Autonomous Drone Navigation for Monitoring
Route-Operable Unmanned Navigation of Drones (ROUNDS)
Saleae Logic 2 Output File Parser (SLOP)
A Python script that transforms complex Saleae Logic 2 data into accessible data sets, filling an unmet need for engineers, researchers, and hobbyists.
SAND: Data Management for Optimized Organization and Analysis
Systematic Analyzer of Numeric Data
Sentinel: Low-Power Semi-Supervised Machine-Learning-Based Intrusion Detection for IoT Networks
Efficient anomaly and intrusion detection tailored for IoT and critical infrastructure networks with low power requirements.
TERMS: Custom Predictive Analytics for Maintenance Optimization
Risk-informed Predictive Analytics (TERMS)
TROPFE: Next-gen MATPOWER Training Data Tool
TROPFE is a sophisticated training data software developed to interface with MATPOWER OPF solver tools for efficient machine learning.