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[PRE REVIEW]: kinisi: Bayesian analysis of mass transport from molecular dynamics simulations #5797
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Suitable reviewers that come to mind include:
Both have experience developing diffusion analysis packages, as parts of MDAnalysis and pymatgen, respectively. |
Also, just to note. The title of the paper has changed to the more descriptive “kinisi: Bayesian analysis of mass transport from molecular dynamics simulations”. |
@Kevin-Mattheus-Moerman I can probably edit this one. |
@editorialbot assign @zhubonan as editor |
Assigned! @zhubonan is now the editor |
Hi @richardjgowers @rangsimanketkaew @masrul @hmacdope, would you be interested and available to review this JOSS submission? It is about using Bayesian analysis to obtain mass-transports coefficients and their error bars from MD simulation trajectories, which I think are relevant to your areas of expertise. The manuscript can be viewed here 👉 View article proof on GitHub Thanks! |
I can :) |
Some other potential reviewers include pdebuyl and malramsay64, who develop the tidynamics package. Also, @zhubonan is there anything required to ensure that the change of title (mentioned here #5797 (comment)) is carried out? |
Thanks for the suggestion. I have also changed the title of the issue. But maybe it needs to be changed else where as well. |
Great cheers, it has been updated in the paper header so that should be fine now. |
Hi @pdebuyl and @malramsay64, would you be interested and available to review this JOSS submission? It is about using Bayesian analysis to obtain mass-transports coefficients and their error bars from MD simulation trajectories, which I think are relevant to your areas of expertise. The manuscript can be viewed here 👉 View article proof on GitHub Thanks! |
Unfortunately I don't have availability to review. |
@zhubonan could you continue your search for reviewers again? |
Hi @dengzeyu, @shyuep would you be interested to review this JOSS submission? It is about using Bayesian analysis to obtain mass-transports coefficients and their error bars from MD simulation trajectories, which I think are relevant to your areas of expertise. The manuscript can be viewed here 👉 View article proof on GitHub Thanks! |
@editorialbot set @denzeyu as reviewer |
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OK, I've started the review over in #5984. |
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Submitting author: @arm61 (Andrew McCluskey)
Repository: https://github.com/bjmorgan/kinisi/
Branch with paper.md (empty if default branch):
Version: 0.7.0
Editor: @zhubonan
Reviewers: @hmacdope, @dengzeyu
Managing EiC: George K. Thiruvathukal
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