Announcement: RAVEN 3.2 Release Now Available

[Congjian Wang]

Dear RAVEN Users,

We are pleased to announce the release of RAVEN 3.2, now available on PyPI: https://pypi.org/project/raven-framework/3.2/

You can install the new version using:

             pip install raven-framework==3.2

This release includes the following major enhancements:

• Enhanced RAVEN Parallels and “RAVEN Runs RAVEN” – Improved parallel execution, including support for one RAVEN instance executing another for greater modularity.
• PyDMD Integration for DMD ROMs – Enables efficient reduced-order modeling using Dynamic Mode Decomposition.
• New Plugins
• POEM – Optimum experiment design (https://idaholab.github.io/POEM/)
• DOVE – https://github.com/idaholab/DOVE
• Batching Improvements – Enhanced support for hybrid and ensemble models.
• Multi-Resolution Time Series Analysis – Improved temporal data analysis capabilities.
• SLURM Support for HPC – Optimized job scheduling and resource management.
• Stopping Criteria in Code Interface – Allows simulations to terminate based on predefined conditions.
• Multi-Objective Optimization (NSGA-II) – Support for solving multi-objective optimization problems.
• New Code Interfaces
• MELCOR
• HTPIPE
• OpenFOAM

We encourage you to upgrade to version 3.2 and review the updated documentation and release notes (https://github.com/idaholab/raven/releases/tag/RAVENv3.2). Please let us know if you encounter any issues or have feedback.

Thank you for your continued support of RAVEN.

Sincerely,

Congjian Wang 

Computational Nuclear Scientist  |  Autonomous Engineering

congji...@inl.gov   |  208-526-7220

Idaho National Laboratory   |  2525 Fremont Ave.   |   Idaho Falls, ID   |  83415 

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