OpenMC
v0.10.0
  • Quick Install Guide
  • Example Notebooks
    • Basic Usage
      • Modeling a Pin-Cell
      • Post Processing
      • Pandas Dataframes
      • Tally Arithmetic
      • Criticality Search
      • Modeling TRISO Particles
      • Modeling a CANDU Bundle
      • Nuclear Data
    • Multi-Group Cross Section Generation
      • MGXS Part I: Introduction
      • MGXS Part II: Advanced Features
      • MGXS Part III: Libraries
      • Multi-Group (Delayed) Cross Section Generation Part I: Introduction
      • Multi-Group (Delayed) Cross Section Generation Part II: Advanced Features
    • Multi-Group Mode
      • Multi-Group Mode Part I: Introduction
      • Multi-Group Mode Part II: MGXS Library Generation With OpenMC
      • Multi-Group Mode Part III: Advanced Feature Showcase
  • Release Notes for OpenMC 0.10.0
  • Theory and Methodology
  • User’s Guide
  • Developer’s Guide
  • Python API
  • C API
  • File Format Specifications
  • Publications
  • License Agreement
  • Development Team
OpenMC
  • Docs »
  • Example Notebooks
  • Edit on GitHub

Example Notebooks¶

The following series of Jupyter Notebooks provide examples for usage of OpenMC features via the Python API.

Basic Usage¶

  • Modeling a Pin-Cell
  • Post Processing
  • Pandas Dataframes
  • Tally Arithmetic
  • Criticality Search
  • Modeling TRISO Particles
  • Modeling a CANDU Bundle
  • Nuclear Data

Multi-Group Cross Section Generation¶

  • MGXS Part I: Introduction
  • MGXS Part II: Advanced Features
  • MGXS Part III: Libraries
  • Multi-Group (Delayed) Cross Section Generation Part I: Introduction
  • Multi-Group (Delayed) Cross Section Generation Part II: Advanced Features

Multi-Group Mode¶

  • Multi-Group Mode Part I: Introduction
  • Multi-Group Mode Part II: MGXS Library Generation With OpenMC
  • Multi-Group Mode Part III: Advanced Feature Showcase
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