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[benchmark] MD+NNP simulations of H, D, and T on Be #186

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drobnyjt opened this issue Mar 8, 2022 · 9 comments
Open

[benchmark] MD+NNP simulations of H, D, and T on Be #186

drobnyjt opened this issue Mar 8, 2022 · 9 comments
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benchmark Request for comparison to theoretical results or experimental data

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@drobnyjt
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drobnyjt commented Mar 8, 2022

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

@drobnyjt drobnyjt added the enhancement New feature or request label Mar 8, 2022
@drobnyjt
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drobnyjt commented Oct 21, 2022

Screenshot 2022-10-21 134406

Data digitized from above:

H on Be

20.004726, 0.0029361406
29.880848, 0.013341782
49.791046, 0.024575423
75.00529,	0.016207783
99.68844,	0.017530797

T on Be

20.013433, 0.0025699555
29.85846,	0.01879205
49.756844, 0.04147379
74.707405, 0.034042966
99.68098, 0.01965117

D on Be

19.9699, 0.005002439
29.601622, 0.021064475
49.76866,	0.03461476
74.71549,	0.030082114
99.954605, 0.013559438

refl

H on Be

9.67742	0.016754618
20.32258	0.09511873
30.0	0.13153034
49.677418	0.102242745
74.83871	0.08403694
100.32258	0.031002639

D on Be

10.32258	0.11649077
20.32258	0.19168866
30.32258	0.19722955
49.677418	0.17269129
75.16129	0.11174142
100.0	0.044459105

T on Be

9.67742	0.19485489
19.67742	0.32150397
30.0	0.33575198
50.322582	0.25105542
75.16129	0.1378628
100.645164	0.044459105

@dcurreli
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Thanks Jon, impressive that in 2022 we still need to digitalize figures...

@drobnyjt
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I think there are ways to do it automatically now, but I'm too stubborn to trust a program to do it right, haha.

@dcurreli
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Every journal should request the data for each published figure, downloadable with the push of a click

@drobnyjt
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drobnyjt commented Oct 21, 2022

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.

reflection_md_nnp_rustbca
Reflection

sputtering_md_nnp_rustbca
Sputtering

@dcurreli
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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?

@drobnyjt
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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.

@drobnyjt
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There are also the potentials from the PSI-SciDAC folks as well, if I recall correctly

@dcurreli
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Yes, I am sure we can find it

@drobnyjt drobnyjt removed the enhancement New feature or request label Dec 14, 2023
@drobnyjt drobnyjt added the benchmark Request for comparison to theoretical results or experimental data label Jan 15, 2024
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