openpnm readthedocs.io

Overview of OpenPNM OpenPNM

Is an open source project aiming to provide porous media researchers with a ready-made framework for performing a wide range of pore network simulations. Summary of key capabilities offered by OpenPNM. Defines a universal means of representing any network topology. Based on a sparse representation of the adjacency matrix using principles from graph theory. Provides a set of tools for querying, inspecting, and manipulating topology. Able to generate various network topologies. Supports saving, loading, im.
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OpenPNM A pore network modeling framework

OpenPNM is an open-source pore network modeling package, written in Python. It is designed to be fully agnostic to the topology and dimensionality of network using graph theory representations to describe the architecture. It is also designed to be customized, so users can write their own pore-scale physics models, geometric, and thermophysical properties models. OpenPNM has received significant funding from CANARIE. Welcome Nivan and Mehrez to the OpenPNM Team.

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Overview of OpenPNM OpenPNM

DESCRIPTION

Is an open source project aiming to provide porous media researchers with a ready-made framework for performing a wide range of pore network simulations. Summary of key capabilities offered by OpenPNM. Defines a universal means of representing any network topology. Based on a sparse representation of the adjacency matrix using principles from graph theory. Provides a set of tools for querying, inspecting, and manipulating topology. Able to generate various network topologies. Supports saving, loading, im.

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This web site had the following in the homepage, "Is an open source project aiming to provide porous media researchers with a ready-made framework for performing a wide range of pore network simulations." Our analyzers noticed that the web page stated " Summary of key capabilities offered by OpenPNM." The Website also said " Defines a universal means of representing any network topology. Based on a sparse representation of the adjacency matrix using principles from graph theory. Provides a set of tools for querying, inspecting, and manipulating topology. Able to generate various network topologies. Supports saving, loading, im."

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