I tried to run a sim using correspondence_dict with F

Ah yes sorry My workaround was: <div class="highlight highlight-

Density of liquids about openmc-dagmc-wrapper HOT 3 CLOSED

fusion-energy commented on June 7, 2024

Density of liquids

from openmc-dagmc-wrapper.

Comments (3)

shimwell commented on June 7, 2024

Ah yes this one requires more than a string.

As the density is temperature dependent it needs an openmc material or neutronics material maker object passing in

import neutronics_material_maker as nmm
my_mat = nmm.Material.from_library(name='FLiBe', temperature=600, enrichment=60)
my_mat.openmc_material

Then pass in my_mat to the correspondence_dict
This also gives the opportunity to enrich the Li6 content

from openmc-dagmc-wrapper.

RemDelaporteMathurin commented on June 7, 2024

Ah yes sorry

My workaround was:

import openmc
import openmc_dagmc_wrapper as odw
import neutronics_material_maker as nmm


# could set to dagmc.h5m if the imprinted and merged geometry is preferred
my_h5m_filename = "dagmc_not_merged.h5m"

# this links the material tags in the dagmc h5m file with materials.
# these materials are input as strings so they will be looked up in the
# neutronics material maker package
material_tag_to_material_dict = {
    "lead": "Lead",
    "flibe": nmm.Material.from_library(name="FLiBe", temperature=650+273.15, pressure=10.1e5, temperature_to_neutronics_code=False),
    "inner_tank_wall": "eurofer",
}

materials = odw.Materials(
    h5m_filename=my_h5m_filename,
    correspondence_dict=material_tag_to_material_dict,
)