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I am currently at my last MSc year in Chemical and Process Engineering (Italy), and our last course on Industrial Chemistry has a mandatory pre-exam exercise which reads:

Find an existing, published research paper in the field of Chemical Engineering and try to autonomously replicate its results (plots, data, equations et similia).

My chosen paper X was published in the Industrial & Engineering Chemistry Research journal, and I suppose it passed peer-review. X shows the application of a new algorithm to a chemical reactor with a given physical model.

However, after my revision and replication trial, I found that using their same model, I do not obtain the paper results. There is no presence of replication error by me, since I checked every passage with the TA.

The same TA pointed out flaws (of fundamental nature, for example F = mv instead of F = ma) in the model, and once corrected allowed me to obtain the results shown in the paper.

I do not think it was a overlook error, since the same reactor model was used in X and two cited sources of X. I want to inform of this error, but I do not know what to do now.

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    "flaws (of fundamental nature, for example F = mv instead of F = ma) in the model, and once corrected allowed me to obtain the results shown in the paper". Just to be sure, by corrected you mean writing F=ma in the code instead of F=mv, and then obtained the same result ? Because by "corrected" one can understand "wrote it in the same way as they did, i.e. F=mv. I guess the important point is: do their results come from a correct "F=ma" code, or from a flawed "F=mv" one ? In the former case the issue is not that big, as pointed ou by louic.
    – EigenDavid
    Nov 8, 2017 at 11:09
  • @David Yes, it is the former case. By analogy, after noticing that I needed to plug in "a" rather than "v" in the code, the same results were obtained. I may add that my TA (who has more experience than me) was the one to notice the flaw. The thing is, my analogy explains the meaning of the flaw, not its functional form. Only an expert eye would have noticed it right away, so I'm prompted to say that it was a copy/pasted equation with an outlook error.
    – TheVal
    Nov 9, 2017 at 19:36
  • Ok, then it is less "serious" than the other case. Then I agree with Danny Ruijters answer's, contact them.
    – EigenDavid
    Nov 9, 2017 at 19:43

1 Answer 1

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The same TA pointed out flaws (of fundamental nature, for example F = mv instead of F = ma) in the model, and once corrected allowed me to obtain the results shown in the paper.

The fact that after correcting the model you can actually reproduce the reported results seems to suggest that the authors did implement their model correctly, but made a mistake when writing the paper.

I think that it is best to first contact the authors, politely explain what you found, and give them the chance to take an appropriate action, e.g. publish an errata in the journal where they published their article (or on their website, if the mistake was really minor).

If they do not react at all, you might contact the journal directly. The editor will typically take care that an errata is published.

When nobody is responsive (I do not expect that in this case, but with a conference article or a fishy journal that might happen), and you consider it important that the scientific community is aware of the mistakes, you could decide to publish your correction somewhere (journal, conference, website, ...).

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  • I disagree. The error seems to be minor and the authors are probably already aware of it. Everybody knows F=ma and not mv, it is just a typo. If the error you found is indeed similar, you do not need to do anything. You even managed to reproduce the results in a few days or so, which is great and indicates that this is a good paper.
    – Louic
    Nov 7, 2017 at 10:48
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    @louic: "flaws" meaning several of them - I would say that at least informing the authors would be the minimum. Also kindly informing the authors or even the editor still gives them the chance to decide what to do (or not to do). I, at least, would like to know when there are flaws in the formulas or method description in one of my papers. Nov 7, 2017 at 13:23

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