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Replace an over-estimated rate rule in R_Recombination #355

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@rwest rwest commented Sep 9, 2019

Don't necessarily merge this PR yet - there may be a better way to address this. We just wanted to see what would happen.

To address issue #353
in which it is suggested this rule was auto-generated using poor thermochemistry,
and ended up much too fast, we have replaced it with the previous value for this reaction,
https://rmg.mit.edu/database/kinetics/families/R_Recombination/training/40/
Apparently taken from entry: C9H7_19 + H_15 <=> indene_25
from kinetics library: kislovB
This is pretty much the collision limit. (10^13 cm3/mol/s)

@mliu49 mliu49 requested a review from mjohnson541 November 19, 2019 17:17
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mjohnson541 previously approved these changes Nov 19, 2019
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Can you rebase?

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mliu49 commented Nov 19, 2019

@mjohnson541 Is this the recommended way to address these kinds of issues with auto-generated families?

@mjohnson541 mjohnson541 dismissed their stale review November 19, 2019 18:08

I'm getting sloppy

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I mean improved thermochemistry libraries and estimation is the real solution, what I thought this was when I glanced at it was adding a new training reaction, which I think is the next best solution. Currently modifying the rate rules isn't preferable because they'll simply get overridden and disappear whenever I retrain the tree.

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mliu49 commented Dec 3, 2019

If this isn't the preferred approach, how should we fix this? It would be best to not ship 3.0 with a known bad rate rule.

To address issue #353
in which it is suggested this rule was auto-generated using poor thermochemistry,
and ended up much too fast, we have replaced it with the previous value for this reaction,
https://rmg.mit.edu/database/kinetics/families/R_Recombination/training/40/
Apparently taken from entry: C9H7_19 + H_15 <=> indene_25
from kinetics library: kislovB
This is pretty much the collision limit. (10^13 cm3/mol/s)
@rwest rwest force-pushed the R_Recombination_slower branch from 6bba02a to 4d1cf2c Compare December 4, 2019 05:08
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rwest commented Dec 4, 2019

I agree it's silly to leave the known problem rate in the next release when this patch is simple.

I also agree that we should fix this properly, but perhaps open a new issue to do that.
That issue could suggest things like

  • removing the "bad" training reaction
  • adding one or more new training reactions
  • adding some automated tests that rates generated from reversing training reactions end up "reasonable"
  • ...

@JacksonBurns JacksonBurns changed the base branch from master to main August 14, 2024 17:41
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@rwest the rate that this PR fixed has since been re-autogenerated elsewhere. Could you take a look and see if this fix is still required?

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4 participants