b'INNOVATION IS MORE THAN A WORDITS IN OUR DNADeep Lynx is intended for use with MOOSE and other software.Open-Source Software HighlightsINL has expanded efforts to release open-source software (OSS),DISCOverflowwhich is freely available to the public and open to collaboration directly with researchers and engineers outside of theDISCOverflow allows users to better understand and visualize laboratory. Fostering widespread distribution of software canproject code structure, which can lead to more efficient and accelerate adoption within industry and fuel innovation in othersecure project code. The unique part of this tool is that data can research organizations. INLs Technology Deployment groupbe automatically disassembled and stored in a graph database is defining and refining an overarching strategy around openstructure for later analysis.source and commercial releases to capitalize on the strengths of each. INLs open-source software can be acquired cost-free: SPEMMCRAhttps://github.com/idaholab SPEMMCRA provides a low-cost simulated method to provide for testing of control theory and cybersecurity approaches to https://github.com/idaholabresearch microgrid implementations. Specifically, this physics-based approach provides realistic responses to compare control https://github.com/idaholabunsupported strategies in simulation, but also to demonstrate actions that can or cannot be taken in taking cybersecurity actions. As Deep Lynx MOOSE Adapter/Deep Lynx communications interfaces or other actions are taken that affect Python Package the flow of data, SPEMMCRA can show whether the microgrid operation is adversely affected by what is intended to mitigate a Deep Lynx is a data warehouse technology that enables thecybersecurity event.digital thread across an organization by serving as the central point of data aggregation and exchange. This enables data toHYBRIDbe exported to graph databases for analysis and queried in aHYBRID is a modeling toolset to assess the economic viability graph-like format. The MOOSE adapter allows Deep Lynx eventsof Nuclear-Renewable Integrated Energy Systems (N-R IES). The to be communicated directly from Deep Lynx to MOOSE andframeworks enabling this toolset are INLs RAVEN, its CashFlow run on the simulation. Results from the MOOSE simulation areplugin and the Modelica language. The toolset includes sample then processed and directly returned to Deep Lynx. The PythonRAVEN workflows performing economic assessments.software is a package developed for the Unattended Operation through the Digital Twin Innovations LDRD and funded under the Fission Battery Initiative. It is intended for use by other software produced under this effort and where the software is written in Python and intended to communicate with Deep Lynx.11'