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Roadmap
John Stilley edited this page Nov 4, 2024
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This is the official planning page for the ARMI framework.
2024, November-ish timeline
The focus of this release will be paying off our technical debt. Though some new features are in the works, most notably in assembly axial expansion and more detailed modeling of fuel pins.
-
HexGrid
work - Clean up the overly-specific methods in
ArmiObject
- Make EOC available in the DB (1-5 days)
- Make the Doppler constant param
VOLUME_INTEGRATED
- Inherit XS Settings when creating a new XS ID
- Move
dochelpers.py
out of ARMI and into the/doc/
directory
- Remove use of NumPy defunct jagged arrays and thus support Python 3.12
- Get code coverage over 90%. (0-5 days)
- Support for ex-core systems
- Reduce the trickiness of
ArmiObject.setNumberDensities()
by moving it toComponent
(1-3 days)
- Force parameters to have descriptions
- Force settings to have descriptions
- Support Python 3.12
- Support Python 3.13
- Remove the Operator from the Reactor (1-3 days)
2025, March-ish timeline
No firm timeline.
This is the big one. This release is meant to be the line in the sand where ARMI's API is made stable. And ARMI will be feature-rich without including the science or engineering calculations within ARMI.
- Allow ARMI DBs to be opened without the
App
that created them - Composites should be able to have children that are Composites
- Find and eliminate all hex assembly assumptions
- Materials redesign
- Meaningful assem Sort Order
- Matrix input on BP
- Move Global Nuclides out of the global scope (1-10 days)
- Finish removing large and important things from the global scope
- Remove XML geom files completely
- Redesign of migration scripts
- De-homogenization of Number Densities
- Defining Custom material properties in the blueprints
- Remove ARMI's unit tests from the API, and create
armi.testing
- Choose a type system: type hints, or NumPy docs or other
- Remove use of NumPy defunct jagged arrays and thus support Python 3.12
- Finally change
Database3
toDatabase
- Improved user experience with preparing input files and analyzing output files
- Possibly along the lines of NEAMS Workbench or something web-based
- Finish the ARMI OpenMC plugin
- ARMI input model for the BEAVRS benchmark
- ARMI plugin for INL's Deep Lynx