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shimwell committed Feb 28, 2022
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10 changes: 4 additions & 6 deletions README.md
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Expand Up @@ -19,7 +19,6 @@ some motivation for learning neutronics.

<p align="center"><a href="https://youtu.be/HH-poTG-FxM" target="_blank"><img src="https://user-images.githubusercontent.com/8583900/144746742-3e31e0ee-6380-4db7-b8ea-0b1c302d497b.png" height="400" /></a></p>


:point_right: [Try the workshop in your browser](https://neutronics-workshop-4zf6u4tg6a-lz.a.run.app/)

# History
Expand All @@ -38,8 +37,6 @@ also welcome as pull requests to the develop branch.
The resource has proven most useful as it is one of the few open source and
accessible fusion neutronics training resources.



## Installation

There are video tutorials for this section which accompany the step by step
Expand All @@ -54,7 +51,6 @@ instructions below.
[Windows](https://hub.docker.com/editions/community/docker-ce-desktop-windows),
including the part where you enable docker use as a non-root user.


2. Pull the docker image from the store by typing the following command in a
terminal window, or Windows users might prefer PowerShell.

Expand Down Expand Up @@ -128,5 +124,7 @@ map which is great for working through the workshop with colleagues.
| [Task 10 - Making CAD geometry](https://github.com/fusion-energy/neutronics-workshop/tree/main/tasks/task_10_making_CAD_geometry) | Parametric CAD geometry, Paramak, Geometry visualisation | [link](https://www.youtube.com/watch?v=Bn_TcJSOvaA) |
| [Task 11 - CAD Cell tallies](https://github.com/fusion-energy/neutronics-workshop/tree/main/tasks/task_11_CAD_cell_tally_heat) | CAD-based neutronics, Cell tallies, DAGMC, Heating | |
| [Task 12 - CAD Mesh tallies](https://github.com/fusion-energy/neutronics-workshop/tree/main/tasks/task_12_CAD_mesh_fast_flux) | CAD-based neutronics, Mesh tallies, Paramak, DAGMC, Fast flux | |
| [Task 13 - Techniques for sampling parameter space](https://github.com/fusion-energy/neutronics-workshop/tree/main/tasks/task_13_parameter_study_sampling) | Sampling, Interpolation, Multi-dimensional parameter studies | |
| [Task 14 - Parameter study optimisation](https://github.com/fusion-energy/neutronics-workshop/tree/main/tasks/task_14_parameter_study_optimisation) | Data science machine learning approaches | |
| [Task 13 - Variance_reduction](https://github.com/fusion-energy/neutronics-workshop/tree/develop/tasks/task_13_variance_reduction) | Variance reduction, weight windows | |
| [Task 14 - Activation transmutation](https://github.com/fusion-energy/neutronics-workshop/tree/develop/tasks/task_14_activation_transmutation) | Isotope build up and tally variation as a function of time | |
| [Task 15 - Techniques for sampling parameter space](https://github.com/fusion-energy/neutronics-workshop/tree/main/tasks/task_15_parameter_study_sampling) | Sampling, Interpolation, Multi-dimensional parameter studies | |
| [Task 16 - Parameter study optimisation](https://github.com/fusion-energy/neutronics-workshop/tree/main/tasks/task_16_parameter_study_optimisation) | Data science machine learning approaches | |
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"outputs": [],
"source": [
"!rm dagmc.h5m\n",
"my_reactor.export_dagmc_h5m(filename='dagmc.h5m')"
"my_reactor.export_dagmc_h5m(filename='dagmc.h5m', min_mesh_size=10, max_mesh_size=20)"
]
},
{
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.11"
"version": "3.8.12"
}
},
"nbformat": 4,
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