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Tue, 7 Nov 2023 16:23:00 +0000 Subject: [PATCH 2/4] Creating 10.21105.joss.05842.crossref.xml --- joss.05842/10.21105.joss.05842.crossref.xml | 375 ++++++++++++++++++++ 1 file changed, 375 insertions(+) create mode 100644 joss.05842/10.21105.joss.05842.crossref.xml diff --git a/joss.05842/10.21105.joss.05842.crossref.xml b/joss.05842/10.21105.joss.05842.crossref.xml new file mode 100644 index 0000000000..703968cab9 --- /dev/null +++ b/joss.05842/10.21105.joss.05842.crossref.xml @@ -0,0 +1,375 @@ + + + + 20231107T162222-652ba6b31256366e4735cea930f2d1b1559c49f9 + 20231107162222 + + JOSS Admin + admin@theoj.org + + The Open Journal + + + + + Journal of Open Source Software + JOSS + 2475-9066 + + 10.21105/joss + https://joss.theoj.org + + + + + 11 + 2023 + + + 8 + + 91 + + + + Micro Manager: a Python package for adaptive and +flexible two-scale coupling + + + + Ishaan + Desai + https://orcid.org/0000-0002-2552-7509 + + + Erik + Scheurer + https://orcid.org/0009-0000-9396-2994 + + + Carina + Bringedal + https://orcid.org/0000-0003-0495-2634 + + + Benjamin + Uekermann + https://orcid.org/0000-0002-1314-9969 + + + + 11 + 07 + 2023 + + + 5842 + + + 10.21105/joss.05842 + + + http://creativecommons.org/licenses/by/4.0/ + http://creativecommons.org/licenses/by/4.0/ + http://creativecommons.org/licenses/by/4.0/ + + + + Software archive + 10.18419/darus-3764 + + + GitHub review issue + https://github.com/openjournals/joss-reviews/issues/5842 + + + + 10.21105/joss.05842 + https://joss.theoj.org/papers/10.21105/joss.05842 + + + https://joss.theoj.org/papers/10.21105/joss.05842.pdf + + + + + + A flexible software approach to simulate +two-scale coupled problems + Desai + 10.23967/eccomas.2022.037 + 2022 + Desai, I., Bringedal, C., & +Uekermann, B. 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Springer International Publishing. +https://doi.org/10.1007/978-3-030-50433-5_33 + + + Multiscale universal interface: A concurrent +framework for coupling heterogeneous solvers + Tang + Journal of Computational +Physics + 297 + 10.1016/j.jcp.2015.05.004 + 0021-9991 + 2015 + Tang, Y.-H., Kudo, S., Bian, X., Li, +Z., & Karniadakis, G. E. (2015). Multiscale universal interface: A +concurrent framework for coupling heterogeneous solvers. Journal of +Computational Physics, 297, 13–31. +https://doi.org/10.1016/j.jcp.2015.05.004 + + + The astrophysical multipurpose software +environment + Pelupessy, F. I. + A&A + 557 + 10.1051/0004-6361/201321252 + 2013 + Pelupessy, F. I., van Elteren, A., de +Vries, N., McMillan, S. L. W., Drost, N., & Portegies Zwart, S. F. +(2013). The astrophysical multipurpose software environment. A&A, +557, A84. +https://doi.org/10.1051/0004-6361/201321252 + + + Multiscale computing in the exascale +era + Alowayyed + Journal of Computational +Science + 22 + 10.1016/j.jocs.2017.07.004 + 1877-7503 + 2017 + Alowayyed, S., Groen, D., Coveney, P. +V., & Hoekstra, A. G. (2017). Multiscale computing in the exascale +era. Journal of Computational Science, 22, 15–25. +https://doi.org/10.1016/j.jocs.2017.07.004 + + + A massively parallel infrastructure for +adaptive multiscale simulations: Modeling RAS initiation pathway for +cancer + Di Natale + Proceedings of the international conference +for high performance computing, networking, storage and +analysis + 10.1145/3295500.3356197 + 2019 + Di Natale, F., Bhatia, H., Carpenter, +T. S., Neale, C., Kokkila-Schumacher, S., Oppelstrup, T., Stanton, L., +Zhang, X., Sundram, S., Scogland, T. R. W., Dharuman, G., Surh, M. P., +Yang, Y., Misale, C., Schneidenbach, L., Costa, C., Kim, C., D’Amora, +B., Gnanakaran, S., … Ingólfsson, H. I. (2019). A massively parallel +infrastructure for adaptive multiscale simulations: Modeling RAS +initiation pathway for cancer. Proceedings of the International +Conference for High Performance Computing, Networking, Storage and +Analysis. +https://doi.org/10.1145/3295500.3356197 + + + Coupling of macro and micro scale in a +continuum-biomechanical model of the human liver using +preCICE + Otlinghaus + 10.18419/opus-12291 + 2022 + Otlinghaus, F. (2022). Coupling of +macro and micro scale in a continuum-biomechanical model of the human +liver using preCICE [Master’s thesis, University of Stuttgart]. +https://doi.org/10.18419/opus-12291 + + + Macro-micro coupling with DuMux and +preCICE + Kschidock + 10.18419/opus-13560 + 2023 + Kschidock, H. (2023). Macro-micro +coupling with DuMux and preCICE. University of Stuttgart. +https://doi.org/10.18419/opus-13560 + + + Efficiency and accuracy of micro-macro models +for mineral dissolution + Gärttner + Water Resources Research + 8 + 56 + 10.1029/2020WR027585 + 2020 + Gärttner, S., Frolkovič, P., Knabner, +P., & Ray, N. (2020). Efficiency and accuracy of micro-macro models +for mineral dissolution. Water Resources Research, 56(8), e2020WR027585. +https://doi.org/10.1029/2020WR027585 + + + DuMux 3 – an open-source simulator for +solving flow and transport problems in porous media with a focus on +model coupling + Koch + Computers & Mathematics with +Applications + 81 + 10.1016/j.camwa.2020.02.012 + 0898-1221 + 2021 + Koch, T., Gläser, D., Weishaupt, K., +Ackermann, S., Beck, M., Becker, B., Burbulla, S., Class, H., Coltman, +E., Emmert, S., Fetzer, T., Grüninger, C., Heck, K., Hommel, J., Kurz, +T., Lipp, M., Mohammadi, F., Scherrer, S., Schneider, M., … Flemisch, B. +(2021). DuMux 3 – an open-source simulator for solving flow and +transport problems in porous media with a focus on model coupling. +Computers & Mathematics with Applications, 81, 423–443. +https://doi.org/10.1016/j.camwa.2020.02.012 + + + + + + From 2d547bb94eb6a91c7a26d57d5feaa916cc02d781 Mon Sep 17 00:00:00 2001 From: The Open Journals editorial robot <89919391+editorialbot@users.noreply.github.com> Date: Tue, 7 Nov 2023 16:23:00 +0000 Subject: [PATCH 3/4] Creating 10.21105.joss.05842.jats --- joss.05842/10.21105.joss.05842.jats | 602 ++++++++++++++++++++++++++++ 1 file changed, 602 insertions(+) create mode 100644 joss.05842/10.21105.joss.05842.jats diff --git a/joss.05842/10.21105.joss.05842.jats b/joss.05842/10.21105.joss.05842.jats new file mode 100644 index 0000000000..db23155379 --- /dev/null +++ b/joss.05842/10.21105.joss.05842.jats @@ -0,0 +1,602 @@ + + +

+ + + + +Journal of Open Source Software +JOSS + +2475-9066 + +Open Journals + + + +5842 +10.21105/joss.05842 + +Micro Manager: a Python package for adaptive and flexible +two-scale coupling + + + +https://orcid.org/0000-0002-2552-7509 + +Desai +Ishaan + + + + +https://orcid.org/0009-0000-9396-2994 + +Scheurer +Erik + + + + +https://orcid.org/0000-0003-0495-2634 + +Bringedal +Carina + + + + +https://orcid.org/0000-0002-1314-9969 + +Uekermann +Benjamin + + + + + +Institute for Parallel and Distributed Systems, University +of Stuttgart, Germany + + + + +Department of Computer Science, Electrical Engineering and +Mathematical Sciences, Western Norway University of Applied Sciences, +Norway + + + + +31 +8 +2023 + +8 +91 +5842 + +Authors of papers retain copyright and release the +work under a Creative Commons Attribution 4.0 International License (CC +BY 4.0) +2022 +The article authors + +Authors of papers retain copyright and release the work under +a Creative Commons Attribution 4.0 International License (CC BY +4.0) + + + +Python + + + + + + Summary +

The Micro Manager facilitates coupling between simulation software + packages, which solve problems at different physical scales. Broadly + speaking, simulation-based analysis is an effective tool to gain + insights in real-world scenarios without incurring the high cost of + prototyping and testing. Complex simulations are oftentimes broken + down into simpler components, which are resolved by tailor-made + software. Such complex simulations can be of multiphysics nature, + meaning different physics are solved in different parts of the domain. + To do such multiphysics simulations, we can couple different software + packages together. preCICE + (Chourdakis + et al., 2022) is an open-source coupling library for + partitioned multiphysics simulations. However, sometimes the coupling + is not just between different physics but also different physical + scales, which is frequently referred to as multiscale coupling. To + understand how the scales affect each other, both scales need to be + solved simultaneously while being coupled in a bi-directional manner. + The Micro Manager, together with preCICE, is capable of handling a + multiphysics and multiscale coupling. We refer to the coarse scale as + the macro scale, and the fine scale as the micro scale. The name + Micro Manager is derived from its core functionality + of controlling a set of micro-scale simulations and coupling them to + one macro-scale simulation via preCICE.

+
+ + Statement of need +

Two-scale coupled simulations have already been done in several + application areas, such as porous media (e.g., + Bastidas + et al., 2021; + Gärttner + et al., 2020), computational mechanics (e.g., + Fritzen + et al., 2019) and biomechanics (e.g., + Lambers + et al., 2021). For each of these publications, the coupling + software is implemented from scratch. Such implementations typically + involve communication between the scales, coupling schemes, and other + case-specific technical solutions. For coupled problems on a single + scale, preCICE handles these coupling aspects. The Micro Manager is a + thin layer on top of preCICE, which enables preCICE to couple problems + across two scales. Compared to existing multiscale coupling software + such as + MUSCLE3 + (Veen + & Hoekstra, 2020), + MUI + (Tang et + al., 2015), and + AMUSE + (Pelupessy, + F. I. et al., 2013), the Micro Manager is an add-on package to + the general coupling library preCICE and not a stand-alone coupling + solution.

+

For single-scale simulations, many widely-used solvers such as + OpenFOAM, FEniCS, deal.II, and more are already coupled using preCICE. + Additionally, preCICE has a steadily growing community + (Chourdakis + et al., 2022). Using the Micro Manager, we expose these + advantages of using preCICE for multiscale scenarios. According to + Alowayyed et al. + (2017), + our solution falls into the heterogeneous multiscale computing + pattern. For this pattern, high-performance computing (HPC) software + is still rare + (Alowayyed + et al., 2017). Application-tailored software packages for + multiscale simulations with massively parallel capabilities, such as + the one by Di Natale et al. + (2019), + exist, but they do not propose a general software solution. preCICE + scales on tens of thousands of MPI ranks + (Bungartz + et al., 2016) and the Micro Manager is capable of adaptively + ([fig:ManagerSolution]) + running micro simulations in parallel. We are proposing a software + solution that could potentially solve large two-scale coupled problems + efficiently, while building on existing single-scale know-how.

+ +

Macro simulation with an averaged view of the materials + (illustrated by stripes) is coupled via preCICE to a set of micro + simulations controlled by the Micro Manager. The enlarged micro + simulation shows a representative micro structure with the different + materials. Micro simulations are run adaptively: highlighted ones + are active, rest are + inactive.

+ +
+
+ + Functionality & Use +

In Desai et al. + (2022), + we use the Micro Manager to solve a two-scale heat conduction problem, + where both the macro and micro scales are solved using the finite + element library Nutils + (Zwieten + et al., 2022). Kschidock + (2023) + shows the flexibility of preCICE and the Micro Manager by solving the + same problem using DuMux + (Koch + et al., 2021). The micro-scale simulation needs to be converted + to a callable library so that the Micro Manager can control it. In the + documentation, + we demonstrate how to convert a Python or a C++ program into a + callable library. The macro-scale simulation is coupled directly to + preCICE. This coupling is black-box; hence, the macro-scale simulation + has no knowledge of the macro-micro coupling or the Micro Manager.

+

The Micro Manager is configured via a + JSON + file. It can run micro simulations in parallel using MPI + (Dalcin + & Fang, 2021). For realistic multiscale scenarios, the + number of micro simulations can be very high, and each micro + simulation can be computationally expensive. The Micro Manager is able + to adaptively activate and deactivate micro simulations depending on + whether their similar counterparts exist + (Redeker + & Eck, 2013).

+

In addition to the two-scale heat conduction problem in Desai et + al. + (2022), + the Micro Manager has already been used in multiscale models of the + human liver in which a lobule-scale continuum-biomechanical model is + coupled to many cell-scale models + (Otlinghaus, + 2022).

+

The Micro Manager is written in Python and hosted on + GitHub. + New versions are released and packaged for + PyPI. + We recommend installing the Micro Manager via pip and running it + directly on the command line or by calling its public methods. It is + designed to work on all major Linux distributions that have Python 3.x + support.

+
+ + Acknowledgements +

The authors are funded by Deutsche Forschungsgemeinschaft (DFG, + German Research Foundation) under Germany’s Excellence Strategy - EXC + 2075 – 390740016. We acknowledge the support of the Stuttgart Center + for Simulation Science (SimTech).

+
+ + + + + + + DesaiIshaan + BringedalCarina + UekermannBenjamin + + A flexible software approach to simulate two-scale coupled problems + ECCOMAS Congress 2022 - 8th European Congress on Computational Methods in Applied Sciences; Engineering + 2022 + 10.23967/eccomas.2022.037 + + + + + + ChourdakisG + DavisK + RodenbergB + SchulteM + SimonisF + UekermannB + AbramsG + BungartzHJ + Cheung YauL + DesaiI + EderK + HertrichR + LindnerF + RuschA + SashkoD + SchneiderD + TotounferoushA + VollandD + VollmerP + KoseomurOZ + + preCICE v2: A sustainable and user-friendly coupling library [version 2; peer review: 2 approved] + Open Research Europe + 2022 + 2 + 51 + 10.12688/openreseurope.14445.2 + + + + + + BungartzHans-Joachim + LindnerFlorian + MehlMiriam + ScheufeleKlaudius + ShukaevAlexander + UekermannBenjamin + + Partitioned fluid–structure–acoustics interaction on distributed data: Coupling via preCICE + Software for exascale computing - SPPEXA 2013-2015 + Springer International Publishing + Cham + 2016 + 10.1007/978-3-319-40528-5_11 + 239 + 266 + + + + + + BastidasManuela + BringedalCarina + PopIuliu + + A two-scale iterative scheme for a phase-field model for precipitation and dissolution in porous media + Applied Mathematics and Computation + 202105 + 396 + 10.1016/j.amc.2020.125933 + 125933 + + + + + + + RedekerMagnus + EckChristof + + A fast and accurate adaptive solution strategy for two-scale models with continuous inter-scale dependencies + Journal of Computational Physics + 2013 + 240 + 0021-9991 + 10.1016/j.jcp.2012.12.025 + 268 + 283 + + + + + + ZwietenGertjan van + ZwietenJoost van + HoitingaWijnand + + Nutils + Zenodo + 202201 + 10.5281/zenodo.6006701 + + + + + + FritzenFelix + FernándezMauricio + LarssonFredrik + + On-the-fly adaptivity for nonlinear twoscale simulations using artificial neural networks and reduced order modeling + Frontiers in Materials + 2019 + 6 + 10.3389/fmats.2019.00075 + + + + + + LambersLena + SuditschMarlon + WagnerArndt + RickenTim + + A multiscale and multiphase model of function-perfusion growth processes in the human liver + PAMM + 2021 + 20 + 1 + 10.1002/pamm.202000290 + e202000290 + + + + + + + DalcinLisandro + FangYao-Lung L. + + mpi4py: Status update after 12 years of development + Computing in Science and Engineering + 2021 + 23 + 4 + 10.1109/MCSE.2021.3083216 + 47 + 54 + + + + + + VeenLourens E. + HoekstraAlfons G. + + Easing multiscale model design and coupling with MUSCLE 3 + Computational science – ICCS 2020 + + KrzhizhanovskayaValeria V. + ZávodszkyGábor + LeesMichael H. + DongarraJack J. + SlootPeter M. A. + BrissosSérgio + TeixeiraJoão + + Springer International Publishing + Cham + 2020 + 10.1007/978-3-030-50433-5_33 + 425 + 438 + + + + + + TangYu-Hang + KudoShuhei + BianXin + LiZhen + KarniadakisGeorge Em + + Multiscale universal interface: A concurrent framework for coupling heterogeneous solvers + Journal of Computational Physics + 2015 + 297 + 0021-9991 + 10.1016/j.jcp.2015.05.004 + 13 + 31 + + + + + + Pelupessy, F. I. + van Elteren, A. + de Vries, N. + McMillan, S. L. W. + Drost, N. + Portegies Zwart, S. F. + + The astrophysical multipurpose software environment + A&A + 2013 + 557 + 10.1051/0004-6361/201321252 + A84 + + + + + + + AlowayyedSaad + GroenDerek + CoveneyPeter V. + HoekstraAlfons G. + + Multiscale computing in the exascale era + Journal of Computational Science + 2017 + 22 + 1877-7503 + 10.1016/j.jocs.2017.07.004 + 15 + 25 + + + + + + Di NataleFrancesco + BhatiaHarsh + CarpenterTimothy S. + NealeChris + Kokkila-SchumacherSara + OppelstrupTomas + StantonLiam + ZhangXiaohua + SundramShiv + ScoglandThomas R. W. + DharumanGautham + SurhMichael P. + YangYue + MisaleClaudia + SchneidenbachLars + CostaCarlos + KimChanghoan + D’AmoraBruce + GnanakaranSandrasegaram + NissleyDwight V. + StreitzFred + LightstoneFelice C. + BremerPeer-Timo + GlosliJames N. + IngólfssonHelgi I. + + A massively parallel infrastructure for adaptive multiscale simulations: Modeling RAS initiation pathway for cancer + Proceedings of the international conference for high performance computing, networking, storage and analysis + Association for Computing Machinery + New York, NY, USA + 2019 + 10.1145/3295500.3356197 + + + + + + OtlinghausFritz + + Coupling of macro and micro scale in a continuum-biomechanical model of the human liver using preCICE + University of Stuttgart + 2022 + 10.18419/opus-12291 + + + + + + KschidockHelena + + Macro-micro coupling with DuMux and preCICE + University of Stuttgart + 2023 + 10.18419/opus-13560 + + + + + + GärttnerStephan + FrolkovičPeter + KnabnerPeter + RayNadja + + Efficiency and accuracy of micro-macro models for mineral dissolution + Water Resources Research + 2020 + 56 + 8 + 10.1029/2020WR027585 + e2020WR027585 + + + + + + + KochTimo + GläserDennis + WeishauptKilian + AckermannSina + BeckMartin + BeckerBeatrix + BurbullaSamuel + ClassHolger + ColtmanEdward + EmmertSimon + FetzerThomas + GrüningerChristoph + HeckKatharina + HommelJohannes + KurzTheresa + LippMelanie + MohammadiFarid + ScherrerSamuel + SchneiderMartin + SeitzGabriele + StadlerLeopold + UtzMartin + WeinhardtFelix + FlemischBernd + + DuMux 3 – an open-source simulator for solving flow and transport problems in porous media with a focus on model coupling + Computers & Mathematics with Applications + 2021 + 81 + 0898-1221 + 10.1016/j.camwa.2020.02.012 + 423 + 443 + + + + +
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