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[PRE REVIEW]: MOLE: Mimetic Operators Library Enhanced #6005
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Five most similar historical JOSS papers: libCEED: Fast algebra for high-order element-based discretizations KMC_Lattice v2.0: An Object-Oriented C\texttt{++} Library for Custom Kinetic Monte Carlo Simulations MUQ: The MIT Uncertainty Quantification Library Castor: A C++ library to code "à la Matlab" Armadillo: a template-based C++ library for linear algebra |
@jcorbino - thanks for your submission. I see a couple of issues:
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While you fix the multiple references in the .md file and generate a new PDF, I will start looking for an editor. |
👋 @jedbrown - Would you be willing to edit this submission? |
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Five most similar historical JOSS papers: libCEED: Fast algebra for high-order element-based discretizations KMC_Lattice v2.0: An Object-Oriented C\texttt{++} Library for Custom Kinetic Monte Carlo Simulations MUQ: The MIT Uncertainty Quantification Library Castor: A C++ library to code "à la Matlab" MatDL: A Lightweight Deep Learning Library in MATLAB |
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Potential reviewers: jhabriel, Akaawase, lucaferranti |
Thanks @jcorbino - the editor will decide on reviewers. |
@mdumett here's where the reviewing process will take place. |
👋 @jedbrown - a ping to see if you would be able to edit this, as previously invited |
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Assigned! @jedbrown is now the editor |
Hi, @jcorbino! It looks like there have been a lot of improvements since this was previously reviewed. Before we get reviewers, I notice a few things in my pre-review scan. Addressing these now will give reviewers a much better experience and should lead to a faster review.
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Thank you @jedbrown for the quick feedback! Here are our answers to your questions:
Our paper deals with the implementation of a computational library for MD. From the current draft: “The mathematics are based on the work of (Corbino & Castillo, 2020).” “A previous library (Sanchez et al., 2014) was developed to implement the mimetic operators “MOLE was designed to be an intuitive software package to construct mimetic operators based on (Corbino & Castillo, 2020) method.” “For an overview of mimetic methods of different types, see the book by Castillo and Miranda and the references therein (José E. Castillo & Miranda, 2013).” Furthermore, here is a link to a technical report where different mimetic methods are discussed.
On the other hand, Laplace discretizations do not need to be symmetric. For example, consider the case of a Laplacian on a hexagonal mesh computed by Hirani's discrete exterior calculus. In that case the Laplacian of 0-form f at a vertex
@mdumett here's where the reviewing process for JOSS takes place 👍 @editorialbot generate pdf |
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Five most similar historical JOSS papers: libCEED: Fast algebra for high-order element-based discretizations MUQ: The MIT Uncertainty Quantification Library KMC_Lattice v2.0: An Object-Oriented C\texttt{++} Library for Custom Kinetic Monte Carlo Simulations Castor: A C++ library to code "à la Matlab" CASTRO: A Massively Parallel Compressible Astrophysics Simulation Code |
👋 @victorapm @josemanuel22 @jakelangham 👋 Hi, would you be available to review this submission for JOSS? |
@jedbrown I could probably contribute some useful comments, though it would be good to have another reviewer more specialised in numerical analysis on board too. |
I can review it, Jed. Thanks! |
Thank you! |
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OK, I've started the review over in #6288. |
Submitting author: @jcorbino (Johnny Corbino)
Repository: https://github.com/jcorbino/mole
Branch with paper.md (empty if default branch):
Version: v3.0
Editor: @jedbrown
Reviewers: @jakelangham, @victorapm
Managing EiC: Daniel S. Katz
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