Examples

Training on WATTS is enabled with a suite of simple examples:

Examples with 1 Application

• 1App_SAM_VHTR - Showcasing MOOSE plugin for SAM execution
• 1App_BISON_MetalFuel - Showcasing MOOSE plugin for BISON execution
• 1App_OpenMC_VHTR - Showcasing OpenMC execution
• 1App_MCNP_Jezebel - Showcasing MCNP execution
• 1App_PyARC_UnitCell - Showcasing PyARC execution
• 1App_SAS_SodiumLoop - Showcasing SAS plugin with a simple sodium loop problem
• 1App_MOOSE-MultiApp_Simple - Simple MOOSE MultiApp calculation

Examples with Multi Applications

• MultiApp_SAM-OpenMC_VHTR - Workflow with MOOSE/SAM and OpenMC

Multi-step workflow

• MultiStep_Griffin-BISON-Sockeye_MR - Advance MOOSE MultiApp calculation with steady-state and transient calculations

Examples with Picard Iterations

• PicardIterations_SAM-OpenMC_VHTR - Workflow with iterative MOOSE/SAM and OpenMC

Examples with Optimization

• Optimization_SAM-OpenMC_VHTR-scipy - 1-criteria optimization of SAM/OpenMC workflow using scipy
• Optimization_SAM-OpenMC_VHTR-pymoo - Multi-criteria optimization of SAM/OpenMC workflow using pymoo
• Optimization_PyARC_DAKOTA - Multi-criteria optimization of PyARC workflow using Dakota

Examples with Sensitivity studies

• Sensitivity_SAM-OpenMC_VHTR-scipy-LHS - Sampling with LHS of SAM/OpenMC workflow using scipy

Examples with Parameteric studies

• ParamStudy_SAM_VHTR - Showcasing SAM with parametric study