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- RAVEN is a flexible and multi-purpose probabilistic risk analysis, validation and uncertainty quantification, parameter optimization, model reduction and data knowledge-discovering framework.
helium
Public- Advanced manufacturing modeling and simulation
moose
PublicMultiphysics Object Oriented Simulation Environmentfalcon
PublicEMRALD
PublicEvent Modeling Risk Assessment using Linked Diagrams (EMRALD) is a software tool developed at INL for researching the capabilities of dynamic PRA (Probabilistic Risk Assessment). In order to promote the effective use of dynamic PRA by the general community, EMRALD focuses on the following key aspects: Simplifying the modeling process by providin…HELP
PublicDeep-Lynx
PublicMalcolm
PublicMalcolm is a powerful, easily deployable network traffic analysis tool suite for full packet capture artifacts (PCAP files), Zeek logs and Suricata alerts.salamander
PublicSALAMANDER is an application for performing system-level, engineering scale (i.e., at the scale of centimeters and meters), and microstructure-scale (i.e., at the scale of microns) multiphysics calculations related to magnetic confinement fusion energy systems.Malcolm-Test
PublicCaldera_ICM
Publicswift
PublicThe code adds a spectral solver capability to the MOOSE ecosystem. It operates on regular orthogonal grids, often used for representative volume elements. This new solver can operate on graphics processing units (GPUs) and can couple to existing MOOSE models.ICSNPP
Publiccarbon_dioxide
PublicDOVE
PublicThe Dispatch Optimization Variable Engine (DOVE) is software tool written in python, developed at Idaho National Laboratory that provides an easily accessible API to performing dispatch analysis for integrated energy system configurations.virtual_test_bed
Publiccivet
PublicContinuous Integration, Verification, Enhancement, and Testingsodium
Publicpotassium
PublicMalcolm-Helm
PublicMontePy
PublicMontePy is the most user friendly Python library (API) to read, edit, and write MCNP input files.