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bbd4562
Add temperature series plotting script for ISFNT case
cticenhour Nov 5, 2025
aa7be7d
Add initial val-2i input file
cticenhour Nov 7, 2025
9d89907
Refine simple mesh, turn on timestep limiting guidelines in adaptive …
cticenhour Nov 7, 2025
e107165
Add source aux for troubleshooting
cticenhour Nov 7, 2025
b9aebbd
Allow easier adjustment of font sizes for labels and axes for tempera…
cticenhour Nov 10, 2025
16342f7
Add lower bounds for concentration and trapped_1 variables
cticenhour Nov 10, 2025
245890c
Add reflection coefficient impact to source term to be more consisten…
cticenhour Nov 10, 2025
a0f80af
Parameter adjustments to be more consistent with paper usage of trap …
cticenhour Nov 10, 2025
28ebe60
Switch to CartesianMeshGenerator to refine in source region a bit better
cticenhour Nov 10, 2025
65bcff6
Adjust trap_per_free and refine in implantation region to get to 8148 s
cticenhour Nov 11, 2025
7f15e92
Adjust tolerances to get case running and add initial plotting script
cticenhour Nov 11, 2025
fd73aa0
Make adjustments to better match simulation and presentation of resul…
cticenhour Nov 24, 2025
dea88e4
Adjustments to clean up commented out items or otherwise unnecessary …
cticenhour Nov 24, 2025
e53fd58
Add TMAP4 run data to plot comparison script
cticenhour Nov 25, 2025
eeda1ae
Add Masa's experimental data for comparison
cticenhour Nov 25, 2025
89a3c5c
Improve readability of plot by adjusting grid and alpha (transparency…
cticenhour Dec 4, 2025
6a83aed
Apply suggestions from code review
cticenhour Jan 22, 2026
c9f11bc
Add units to experimental and TMAP4 data for val-2i
cticenhour Jan 22, 2026
c536e82
Add header information to val-2i input file
cticenhour Jan 22, 2026
669ae7d
Adjust temperature plotting script to include temperature profile dir…
cticenhour Jan 22, 2026
46bbca2
Add initial val-2i tests
cticenhour Mar 17, 2026
5fc10fa
Add light test for val-2i and mark full tests as heavy
cticenhour Mar 17, 2026
d26c108
Add val-2i documentation
cticenhour Mar 17, 2026
54cda56
Fixup typo in comparison script when used with documentation
cticenhour Mar 17, 2026
2a836dc
Change name of temperature history generation file and output file
cticenhour Mar 17, 2026
b2d204c
Address review comments
cticenhour Mar 18, 2026
d071487
Remove data masking and use alphas instead
cticenhour Mar 18, 2026
8506bf3
Add RMSPE for both TMAP4 results and TMAP8 results against experiment…
cticenhour Mar 18, 2026
73ff72b
Add to caption about RMSPE values
cticenhour Mar 18, 2026
b41cfdf
Perform black formatting on val-2i python files
cticenhour Mar 18, 2026
e1a527a
Simplify outputs setup
cticenhour Mar 19, 2026
8ebe7bf
Switch to MUMPS and reduce bounds min to zero
cticenhour Mar 19, 2026
8a04362
Differentiate requirements in val-2i tests
cticenhour Mar 19, 2026
a3122ee
Apply suggestions from code review
cticenhour Aug 17, 2026
d845d2e
Fixup bug in RMSPE calculation; TMAP8 time series data was not being …
cticenhour Aug 18, 2026
fce18ba
Address more review comments
cticenhour Aug 18, 2026
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60 changes: 60 additions & 0 deletions doc/content/bib/tmap8.bib
Original file line number Diff line number Diff line change
Expand Up @@ -610,3 +610,63 @@ @article{yu2024hydrogen
doi = {10.1016/j.ijhydene.2023.12.241},
publisher = {Elsevier}
}

@article{Shimada2018,
title = {Deuterium retention in neutron-irradiated single-crystal tungsten},
author = {M. Shimada and Y. Oya and W.R. Wampler and Y. Yamauchi and C.N. Taylor and L.M. Garrison and D.A. Buchenauer and Y. Hatano},
journal = {Fusion Engineering and Design},
volume = {136},
pages = {1161-1167},
year = {2018},
note = {Special Issue: Proceedings of the 13th International Symposium on Fusion Nuclear Technology (ISFNT-13)},
issn = {0920-3796},
doi = {10.1016/j.fusengdes.2018.04.094},
}

@article{Katoh2017phenix,
author = {Yutai Katoh and Daniel Clark and Yoshio Ueda and Yuji Hatano and Minami Yoda and Adrian S. Sabau and Takehiko Yokomine and Lauren M. Garrison and J. Wilna Geringer and Akira Hasegawa and Tatsuya Hinoki and Masashi Shimada and Dean Buchenauer and Yasuhisa Oya and Takeo Muroga},
title = {{Progress in the U.S./Japan PHENIX Project for the Technological Assessment of Plasma Facing Components for DEMO Reactors}},
journal = {Fusion Science and Technology},
volume = {72},
number = {3},
pages = {222--232},
year = {2017},
publisher = {Taylor \& Francis},
doi = {10.1080/15361055.2017.1333868}
}

@article{Shimada2017phenix,
author = {Masashi Shimada and Yasuhisa Oya and Dean A. Buchenauer and Yuji Hatano},
title = {Hydrogen Isotope Retention and Permeation in Neutron-Irradiated Tungsten and Tungsten Alloys Under {PHENIX} Collaboration},
journal = {Fusion Science and Technology},
volume = {72},
number = {4},
pages = {652--659},
year = {2017},
publisher = {Taylor \& Francis},
doi = {10.1080/15361055.2017.1347468}
}

@article{Causey2002,
title = {Hydrogen isotope retention and recycling in fusion reactor plasma-facing components},
author = {Rion A Causey},
journal = {Journal of Nuclear Materials},
volume = {300},
number = {2},
pages = {91-117},
year = {2002},
issn = {0022-3115},
doi = {10.1016/S0022-3115(01)00732-2}
}

@article{Kolasinski2013,
title = {Mechanisms of gas precipitation in plasma-exposed tungsten},
author = {R.D. Kolasinski and D.F. Cowgill and D.C. Donovan and M. Shimada and W.R. Wampler},
journal = {Journal of Nuclear Materials},
volume = {438},
pages = {S1019-S1022},
year = {2013},
note = {Proceedings of the 20th International Conference on Plasma-Surface Interactions in Controlled Fusion Devices},
issn = {0022-3115},
doi = {10.1016/j.jnucmat.2013.01.222}
}
1 change: 1 addition & 0 deletions doc/content/verification_and_validation/index.md
Original file line number Diff line number Diff line change
Expand Up @@ -58,3 +58,4 @@ TMAP8 also contains [example cases](examples/tmap_index.md), which showcase how
| val-2e | [Co-permeation of H$_2$ and D$_2$ through Pd](val-2e.md) |
| val-2f | [Modelling self-damaged tungsten effects on deuterium transport](val-2f.md) |
| val-2g | [Deuterium Transport in Proton-Conducting Ceramics](val-2g.md) |
| val-2i | [Deuterium Retention in Neutron-irradiated Single-crystal Tungsten](val-2i.md) |
191 changes: 191 additions & 0 deletions doc/content/verification_and_validation/val-2i.md
Original file line number Diff line number Diff line change
@@ -0,0 +1,191 @@
# val-2i

# Deuterium Retention in Neutron-irradiated Single-crystal Tungsten

## Case Description

!style halign=left
This case reproduces, in updated form, the analysis published in [!cite](Shimada2018).
In the original study, a modified form of the TMAP4 code (updated to include multiple trapping sites, though only one is used in this study) was utilized to explore deuterium retention and trapping within neutron-irradiated single-crystal tungsten samples.
Samples were first irradiated in the [High Flux Isotope Reactor (HFIR)](https://neutrons.ornl.gov/hfir) facility at Oak Ridge National Laboratory and then exposed to a deuterium plasma within the [Tritium Plasma Experiment (TPE)](https://inl.gov/fusion-safety/star/) at Idaho National Laboratory. This was undertaken as part of the US-Japan Technological Assessment of Plasma Facing Components for DEMO Reactors (PHENIX) project [!citep](Katoh2017phenix, Shimada2017phenix).

In the experimental phase, six single-crystal tungsten disks were prepared from micro-tensile specimens using electrical discharge machining; the dimensions of the samples after machining were $4.0 \times 4.0 \times 0.5$ mm$^3$. After mechanical polishing, heat treatment was not performed to remove any remaining surface damage due to the production process (e.g., shallow cracks from machining and parallel striations from polishing) prior to neutron irradiation. As opposed to mirror-like laboratory conditions, these were judged to represent more realistic surfaces that might be experienced in plasma facing components in fusion devices. Experimental conditions for both the HFIR and TPE phases of the experiment are shown in [val-2i-experimental-conditions].

!table id=val-2i-experimental-conditions caption=The experimental (HFIR irradiation and TPE plasma) conditions for val-2i, from [!cite](Shimada2018).
| Specimen ID | HFIR irradiation temp. (K) | TPE exposure temp. (K) | TPE exposure flux (m$^{-2} \cdot$ s$^{-1}$) | TPE exposure fluence (m$^{-2}$)
| - | - | - | - | - |
| W53A | 633 | 673 | $7.1 \times 10^{21}$ | $5.1 \times 10^{25}$ |
| W53B | 633 | 673 | $4.7 \times 10^{21}$ | $5.0 \times 10^{25}$ |
| W55A | 963 | 873 | $8.2 \times 10^{21}$ | $5.2 \times 10^{25}$ |
| W55B | 963 | 873 | $5.9 \times 10^{21}$ | $5.0 \times 10^{25}$ |
| W26A | 1073 | 973 | $8.4 \times 10^{21}$ | $5.0 \times 10^{25}$ |
| W26B | 1073 | 973 | $7.5 \times 10^{21}$ | $5.0 \times 10^{25}$ |

Note that the HFIR irradiation dose was calculated to approximately 0.1 dpa, and the incident ion energy in TPE was approximately 100 eV (more info available in [!cite](Shimada2018)). In this effort, the W53A, W55A, and W26A samples were used to compare experimental thermal desorption spectroscopy (TDS) measurements to modeling predictions.

2-4 hours after deuterium plasma exposure (long enough for the specimen to cool from the TPE exposure temperature to approximately 300 K), the specimens were transferred to the TDS vacuum chamber. The TDS measurement process consisted of three phases:

1. +Pumpdown phase:+ After placing a specimen in the chamber, the system was pumped down until a vacuum pressure of $1.0 \times 10^{-5}$ Pa was reached.
2. +Thermal desorption phase:+ The sample temperature was increased using a furnace at a linear ramp rate of 10 K/min to 1173 K, causing trapped deuterium to be released.
3. +Hold phase (0.5 hour):+ The sample temperature was held at 1173 K until the end of the experiment.

To replicate the TPE exposure, cooldown period, and TDS conditions, the temperature history shown in [val-2i_temperature_history] was used in the TMAP8 model.

!media val-2i_temperature_history.py
image_name=val-2i_temperature_history.png
style=width:50%;margin-bottom:2%;margin-left:auto;margin-right:auto
id=val-2i_temperature_history
caption=Temperature history used in the TMAP8 simulation for the 673 K exposure (specimen W53A), 873 K exposure (specimen W55A), and 973 K exposure (specimen W26A). This reproduces Figure 3 from [!cite](Shimada2018).

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Add the assumed duration of the cooldown phase. The documentation above states 2-4 hours, but no exact time is given, even if one is used here.
Also, the temperature of the sample that was held at 973 K seems to discontinuously drop to 300 K. It might not be a drop large enough to cause issues, but such behavior can cause challenges with trapping behavior, so just be mindful of that if you encounter challenges around that time.

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It does look like that - I'll see if I can adjust the function to make it smoother. Good catch.


## Model Description

### Diffusion of Mobile Species

!style halign=left
In this model, one mobile species is considered: deuterium. The hydrogen isotope transport model considers diffusion, a single trapping site, and an idealized treatment of the reactions at the exposed surface. The governing equation for deuterium in this scenario is described as

\begin{equation}
\frac{\partial C_M}{\partial t} = \nabla \cdot D \nabla C_M - \frac{\partial C_T}{\partial t} + S,
\end{equation}

where $C_M$ is the concentration of mobile deuterium, $D$ is the diffusivity, $C_T$ is the concentration of trapped deuterium in the material, and $S$ is the deuterium implantation source term from the TPE exposure. The diffusivity follows an Arrhenius relationship:

\begin{equation}
D = D_{0} \exp\left(-\frac{E_{a}}{k_B T}\right),
\end{equation}

where $D_{0}$ is the pre-exponential factor, $E_{a}$ is the activation energy, $k_B$ is the Boltzmann constant, and $T$ is temperature. The implantation profile is in the form of a normal distribution, whose one-dimensional form is given by

\begin{equation}
S(x, t) = S_s(t) \frac{1-R_{\text{ref}}}{w_s \sqrt{2 \pi}} \exp \left[-\frac{1}{2} \left(\frac{x - d_s}{w_s}\right)^2 \right],
\end{equation}

where $S_s$ is the surface flux as a function of time, $R_{\text{ref}}$ is a reflection coefficient (chosen to account for complex plasma-surface interactions described shortly), $w_s$ is the implantation source width, and $d_s$ is the implantation source depth. As mentioned in [!cite](Shimada2018), these parameters were obtained for 100 eV deuterium in tungsten by fitting output from the SRIM code. All parameters presented in this section are shown in [val-2i_diffusion_parameters].

### Trapping and Detrapping

!style halign=left
The model includes a single trapping site to capture deuterium retention effects observed in the TDS spectra. The trapped concentration $C_T$ evolves according to:

\begin{equation}
\frac{\partial C_T}{\partial t} = \alpha_t \frac{C_T^{\text{empty}} C_M}{N} - \alpha_r C_T,
\end{equation}

where $N$ is the lattice site density, and $C_T^{\text{empty}} = \chi N - C_T$ is the empty trap concentration with $\chi$ being the trap site fraction. $N$ is assumed to be the atomic density of tungsten.

For a robust coupled nonlinear solve, TMAP8 does not solve directly for $C_T$. Instead, following the scaling approach described in [TrappingNodalKernel.md] and [getting_started/tmap8_user_notes.md#scaling exact=True], the finite-element trapped-species degree of freedom that TMAP8 actually solves for, $\hat{C}_T$, is related to the physical trapped concentration by

\begin{equation}
C_T = \text{trap\_per\_free} \cdot \hat{C}_T,
\end{equation}

where `trap_per_free` is a scaling factor chosen so that the numerical magnitude of $\hat{C}_T$ is comparable to that of the mobile concentration $C_M$. Substituting this relation into the equation for $C_T$ above and dividing through by `trap_per_free` gives the equation that is actually solved for $\hat{C}_T$:

\begin{equation}
\frac{\partial \hat{C}_T}{\partial t} = \frac{\alpha_t}{\text{trap\_per\_free}} \frac{\left(\chi N - \text{trap\_per\_free} \cdot \hat{C}_T\right) C_M}{N} - \alpha_r \hat{C}_T.
\end{equation}

In the [/val-2i.i] input file, this scaling is set through the `trap_per_free` parameter, with a value of $1 \times 10^6$.

The trapping and release rate coefficients follow Arrhenius relationships:

\begin{equation}
\alpha_t = \alpha_{t0} \exp\left(-\frac{\epsilon_t}{k_B T}\right),
\end{equation}

\begin{equation}
\alpha_r = \alpha_{r0} \exp\left(-\frac{\epsilon_r}{k_B T}\right),
\end{equation}

where $\alpha_{t0}$ and $\alpha_{r0}$ are pre-factors of trapping and release rate coefficients and $\epsilon_t$ and $\epsilon_r$ are trapping and release energies. In this model, $\alpha_{t0}$ is defined as

\begin{equation}
\alpha_{t0} = \frac{D_0}{\lambda_W^2},
\end{equation}

where $\lambda_W$ is the lattice constant for tungsten.

!alert note title=Typo in [!cite](Shimada2018), Section 3
There appears to be a typo for the definition of $\alpha_{t0}$ in [!cite](Shimada2018), where $\lambda_W$ is in the denominator instead of $\lambda_W^2$. This is inconsistent with the TMAP4 input file used in the original work and with the units of $\alpha_{t0}$, $D_0$, and $\lambda_W^2$. We have therefore corrected it in the documentation here and used the correct form for trapping coefficient in the TMAP8 input file.

The release energy is defined as

\begin{equation}
\epsilon_r = E_b + \epsilon_t,
\end{equation}

where $E_b$ is the binding energy of deuterium atoms in the trapping site. An initial uniform distribution of empty traps was assumed at the beginning of the simulation. All trapping parameters presented in this section are shown in [val-2i_trapping_parameters].

### Surface Reactions

!style halign=left
In addition to diffusion and trapping within the bulk material, hydrogen isotope transport also involves chemical reactions and physical interactions at the surface. It is assumed that the deuterium release from the tungsten surface is idealized and not rate limited by recombination, as suggested by [!cite](Causey2002), leading to a surface mobile deuterium concentration of zero. That is, for a one dimensionsal model, we apply

\begin{equation}
C_M(x = 0, t) = 0.
\end{equation}

As mentioned previously, the reflection coefficient $R_{ref}$ was adjusted as a fitting parameter to the model to account for plasma-surface interactions. To elaborate, at high deuterium flux with low diffusivity, the location concentration of deuterium within the implantation depth is high. Coupled with the very high equilibrium gas pressure, near-surface precipitation follows, as described by [!cite](Kolasinski2013). Interconnected gas bubbles within the tungsten gives pathways for these precipitated $D_2$ molecules to escape, leading to a smaller diffusion length for the release of deuterium from solution. Subsequently, the amount of deuterium available to diffuse further past the implantation region is reduced. Thus, a portion of the implanted deuterium is "reflected" and unavailable as a source to the diffusion model.

## Case and Model Parameters

!style halign=left
[val-2i_diffusion_parameters] summarizes the detail of sample and experimental conditions from [!cite](Shimada2018), as well as the model parameters from [!cite](frauenfelder1969solution), [!cite](Causey2002), and estimated from validation cases in TMAP8. Where there are different parameters for each case, these are listed in order by specimen: W53A, W55A, and W26A. [val-2i_trapping_parameters] includes the trapping parameters from Karmonik et al. [!citep](karmonik1995proton) and estimated based on existing validation cases in TMAP8.

!table id=val-2i_diffusion_parameters caption=Experimental set up and diffusion parameters from Shimada et al. [!citep](Shimada2018) for deuterium transport in neutron-irradiated single-crystal tungsten. Multiple parameter values correspond to [W53A, W55A, W26A].
| Parameter | Description | Value | Units | Reference |
| --------- | ----------- | ----- | ----- | --------- |
| $T_{\text{initial}}$ | Initial / plasma exposure temperature | \[673, 873, 973\] | K | [!cite](Shimada2018) |
| $T_{\text{low}}$ | Cooldown final temperature | 300 | K | Estimated from [!cite](Shimada2018) |
| $T_{\text{high}}$ | Desorption final temperature | 1173 | K | [!cite](Shimada2018) |
| $\beta$ | Heating rate | 10 | K/min | [!cite](Shimada2018) |
| $l$ | Sample thickness | 0.5 | mm | [!cite](Shimada2018) |
| $D_0$ | Diffusivity pre-exponential factor | $4.1 \times 10^{-7} / \sqrt{2}$ | m$^2$/s | [!cite](frauenfelder1969solution) and corrected for deuterium by [!cite](Causey2002) |
| $E_a$ | Activation energy of deuterium diffusion | 0.39 | eV | [!cite](frauenfelder1969solution) |
| $C_{M,0}$ | Initial concentration of mobile species | 0 | at. / m$^{3}$ | [!cite](Shimada2018) |

!table id=val-2i_trapping_parameters caption=Trapping parameters for deuterium transport in single-crystal tungsten used in this case. Multiple parameter values correspond to [W53A, W55A, W26A].
| Parameter | Description | Value | Units | Reference |
| --------- | ----------- | ----- | ----- | --------- |
| $N$ | Lattice site density | $6.323 \times 10^{28}$ | at. / m$^{-3}$ | [!cite](Shimada2018) |
| $\lambda_W$ | Lattice constant for tungsten | $3.6 \times 10^{-10}$ | m | [!cite](Shimada2018) |
| $\epsilon_{t}$ | Trapping energy | 0.39 | eV | [!cite](frauenfelder1969solution) |
| $\alpha_{r0}$ | Release rate coefficient | $1 \times 10^{13}$ | 1/s | [!cite](Shimada2018) |
| $E_b$ | Binding energy of deuterium in trapping site | \[1.41, 1.91, 2.21\] | eV | [!cite](Shimada2018) |
| $\chi$ | Trapping site atom fraction | \[0.002, 0.0002, 0.0002\] | - | [!cite](Shimada2018) |

!alert note title=Typo in [!cite](Shimada2018), Section 3
There appears to be a typo for the definition of $\alpha_{r0}$ in [!cite](Shimada2018), where it is stated to be $10^{-13} \text{s}^{-1}$. This is inconsistent with the TMAP4 input file used in the original work, so we have corrected it in the documentation here and used the correct form for release rate coefficient in the TMAP8 input file.

!table id=val-2i_implantation_parameters caption=Implantation parameters for deuterium transport in single-crystal tungsten used in this case. Multiple parameter values correspond to [W53A, W55A, W26A].
| Parameter | Description | Value | Units | Reference |
| --------- | ----------- | ----- | ----- | --------- |
| $S_s(t=0)$ | Initial plasma exposure flux | 0 | at. / m$^{2}$ / s | [!cite](Shimada2018) |
| $S_s(t)$ | Plasma exposure flux | $7.1 \times 10^{21}$ | at. / m$^{2}$ / s | [!cite](Shimada2018) |
| $R_{\text{ref}}$ | Reflection coefficient | \[0.90, 0.99, 0.99\] | - | [!cite](Shimada2018) |
| $w_s$ | Implantation source width | $3.58 \times 10^{-9}$ | m | [!cite](Shimada2018) |
| $d_s$ | Implantation source depth | $2.64 \times 10^{-9}$ | m | [!cite](Shimada2018) |

## Results

!style halign=left
Using the model described here and in [!cite](Shimada2018), the output from TMAP8 is compared to that of TMAP4 as well as the experimental data, shown in [val-2i_comparison]. The model captures the delayed release of deuterium during the TDS heating process and produces peak shapes that are consistent with both the TMAP4 model results and the experimental data.

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Any idea why the results are not exactly as in TMAP4?


!media comparison_val-2i.py

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The RMSPE values for TMAP8 seem absurd, even if the curves are a bit different from TMAP4, this makes no sense to me.

@cticenhour cticenhour Aug 17, 2026

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Reminder of our previous discussion about this in December here: #325 (comment)

In short, we need to determine a defensible way of talking about either removing the data corresponding to experimental diagnostic "noise", or a better way of calculating the error that can safely neglect the data region where we see the most divergence that is simultaneously the least "important" to the region we're comparing within.

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I had some previous notes on how to do the latter, but need to dig those up again...

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Turns out the experimental data "diagnostic floor" was a complete red herring.....This was entirely due to a bug in my RMSPE calculation for TMAP8. I perform a shift (by 12,000 s) to align the TMAP8 desorption data with that of TMAP4 and the experiment. I neglect to do this for the RMSPE calculation! When I do, the RMSPE values look much more comparable across both TMAP4 and TMAP8:

Case RMSPE (TMAP4) RMSPE (TMAP8)
673 K 9.08% 16.14%
873 K 28.46% 34.84%
973 K 29.35% 30.97%

This was discovered when trying to perform a "limit-of-detection" (inspired by the analytical chemistry folks) version of the RMSPE calculation and discovering that nothing effectively changed in the TMAP8 error calculation.

image_name=val-2i_comparison.png

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I suggest writing the RMSPE values with the color of the corresponding curve.

style=width:50%;margin-bottom:2%;margin-left:auto;margin-right:auto

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The curves are hard to see in some areas due to overlap with the experimental data. Maybe add a thin black line around the curves, using something like path_effects maybe.

id=val-2i_comparison
caption=Comparison of TMAP8 calculations (with trapping) with TMAP4 results and experimental data during TDS process. Root mean square percentage error (RMSPE) values comparing TMAP4 and TMAP8 to the experimental data are shown on the plot.

## Input files

!style halign=left
The input file for this validation case as described above is [/val-2i.i]. It shows the parameters
specific to the 673 K (W53A) case. The other cases are run in testing using command line arguments
to adjust the trapping site fraction, the plasma exposure temperature, the binding energy, and the
reflection coefficient on-the-fly.

More information about these tests can be found in the test specification file for this case, namely
[/val-2i/tests].

!bibtex bibliography
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