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[benchmark] MD+NNP simulations of H, D, and T on Be #186
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Data digitized from above: H on Be
T on Be
D on Be
H on Be
D on Be
T on Be
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Thanks Jon, impressive that in 2022 we still need to digitalize figures... |
I think there are ways to do it automatically now, but I'm too stubborn to trust a program to do it right, haha. |
Every journal should request the data for each published figure, downloadable with the push of a click |
Using the RustBCA default options, the BCA appears to perform relatively poorly compared to this MD benchmark. There are two caveats - first, this data is significantly off from both Yamamura and Thomas, so I am not sure how well it compares to experiment in the first place. Second, this is a worst-case-scenario for the default options, since H and Be interact quite strongly with each other, and in fact chemical sputtering of Be by H is expected - the default options are for Kr-C and the individual/planar surface binding model - the next step would be to use the developed NNP potentials with the CPR rootfinder and see how the results compare then. |
Excellent analysis. I was expecting disagreement for hydrogen isotopes on Be for standard, purely-repulsive potentials. Do we have access to an expression of the NNP? |
I thought it was in the supplementary material, but I cannot find it now... However, they cite Bjorkas et al. who have an expression for an interaction potential: https://iopscience.iop.org/article/10.1088/0953-8984/21/44/445002 And there's always a fitted Morse potential; I think I know of a routine for any H-metal interaction that's in an old paper somewhere. |
There are also the potentials from the PSI-SciDAC folks as well, if I recall correctly |
Yes, I am sure we can find it |
Shermukhamedov et al. have a paper out on relatively low-energy H, D, and T sputtering and reflection using MD with neural-network potentials. This could be a decent target for benchmarking the results of the attractive-repulsive potentials.
https://doi.org/10.1088/1741-4326/ac592a
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