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====== MuPIF ====== | ====== MuPIF ====== | ||
- | MuPIF is open-source, | + | MuPIF is open-source, |
MuPIF utilizes an object-oriented approach, with abstract classes defining standardized interfaces introduced to represent simulation models and data types. | MuPIF utilizes an object-oriented approach, with abstract classes defining standardized interfaces introduced to represent simulation models and data types. | ||
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The simulation workflows are implemented as Python scripts built on top of MuPIF. The graphical workflow editor is available to make the workflow implementation more accessible and convenient. | The simulation workflows are implemented as Python scripts built on top of MuPIF. The graphical workflow editor is available to make the workflow implementation more accessible and convenient. | ||
+ | MuPIF comes with a Data Management System (DMS) called MuPIFDB. The DMS is used to track integrated simulation workflows, their executions including execution inputs and outputs. It also provides a generic Digital Twin model, which is based on Entity Data Model (EDM). The EDM identifies the individual entities, their attributes and relations between them. The EDM is defined using JSON schema, and the DMS structure is generated from this schema. The EDM allows to map entity attributes to simulation workflow inputs (determining the initial conditions) and simulation workflow outputs can be mapped to newly cloned entities representing updated configuration(s). The EDM can be regarded as hypergraph, where nodes represent entity states and edges representing processes. | ||
+ | MuPIF is written in Python 3.5 and is independent on operating system. | ||
==== MuPIF highlights ==== | ==== MuPIF highlights ==== | ||
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====== Documentation & Resources ====== | ====== Documentation & Resources ====== | ||
- | * Online | + | * The Musicode project MuPIF training video recording is available on YouTube: |
- | * Three webinars on MuPIF platform design, installation, | + | * The mupif/jupyter-demos repository on GitHub contains |
- | | + | * [[https:// |
- | | + | * [[https://github.com/ |
- | * [[https://www.youtube.com/ | + | * Online |
* [[https:// | * [[https:// | ||
* [[wiki: | * [[wiki: | ||
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The easiest installation happens through Python Package Index (pip) which takes care of dependencies and installs/ | The easiest installation happens through Python Package Index (pip) which takes care of dependencies and installs/ | ||
< | < | ||
- | pip install mupif | + | pip3 install |
+ | </ | ||
+ | Alternatively, | ||
+ | < | ||
+ | git clone https:// | ||
</ | </ | ||
- | Alternatively, | ||
===== License ===== | ===== License ===== | ||
MuPIF is available under GNU Library or Lesser General Public License version 3.0 (LGPLv3) | MuPIF is available under GNU Library or Lesser General Public License version 3.0 (LGPLv3) | ||
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* MMP - Multiscale Modelling Platform: Smart design of nano-enabled products in green technologies (FP7 project number 604279), | * MMP - Multiscale Modelling Platform: Smart design of nano-enabled products in green technologies (FP7 project number 604279), | ||
* [[http:// | * [[http:// | ||
- | * At present, the MuPIF is part of [[http:// | ||
+ | At present, the MuPIF development is supported by following projects | ||
+ | * [[http:// | ||
+ | * DeeMa project (Deep-Learning and Optimisation Enabled Material Microstructure Design), funded by Technology Agency of the Czech Republic, grant agreement no. TH75020002. | ||
+ | | ||
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start.txt · Last modified: 2023/04/27 23:10 by bp