{ "info": { "author": "Ali Girayhan Ozbay", "author_email": "aligirayhan.ozbay14@imperial.ac.uk", "bugtrack_url": null, "classifiers": [ "License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)", "Operating System :: OS Independent", "Programming Language :: Python :: 3", "Topic :: Scientific/Engineering" ], "description": "# poisson_CNN\n\npoisson_CNN is a convolutional neural network model whih estimates the solution of the Poisson equation with four Dirichlet boundary conditions on rectangular grids of variable sizes.\n\nInstallation requires CUDA set up to work with tensorflow-gpu version 2.3 or newer. To install, please use the Dockerfile appropriate for your CPU architecture (in most cases, `docker/Dockerfile-amd64`)\n\nAn article describing the performance of our model is available: [journal](https://doi.org/10.1017/dce.2021.7) | [arXiv](https://arxiv.org/abs/1910.08613) \n\nIf you use this repo in your work, please cite our paper:\n\n\u00d6zbay AG, Hamzehloo A, Laizet S, Tzirakis P, Rizos G, Schuller B. Poisson CNN: Convolutional neural networks for the solution of the Poisson equation on a Cartesian mesh. Data-Centric Engineering. [Online] Cambridge University Press; 2021;2: e6. 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