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Commit 58d7a78e authored by Luigi Sbailo's avatar Luigi Sbailo
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Update metainfo.json

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...@@ -7,6 +7,7 @@ ...@@ -7,6 +7,7 @@
"email": "leitherer@fhi-berlin.mpg.de", "email": "leitherer@fhi-berlin.mpg.de",
"title": "Introduction to multilayer perceptrons (deep neural networks)", "title": "Introduction to multilayer perceptrons (deep neural networks)",
"description": "In this tutorial, we will use the ElemNet neural network architecture (https://github.com/NU-CUCIS/ElemNet) to predict the volume per atom of inorganic compounds, where the open quantum materials database (OQMD) is used as a resource (specifically, the data is taken from Ward et. al., npj Comput. Mater. 2, 16028 (2016)).", "description": "In this tutorial, we will use the ElemNet neural network architecture (https://github.com/NU-CUCIS/ElemNet) to predict the volume per atom of inorganic compounds, where the open quantum materials database (OQMD) is used as a resource (specifically, the data is taken from Ward et. al., npj Comput. Mater. 2, 16028 (2016)).",
"notebook_name": "nn_regression.ipynb",
"url": "https://gitlab.mpcdf.mpg.de/nomad-lab/analytics-tutorial-template", "url": "https://gitlab.mpcdf.mpg.de/nomad-lab/analytics-tutorial-template",
"link": "https://analytics-toolkit.nomad-coe.eu/hub/user-redirect/notebooks/tutorials/nn_regression.ipynb", "link": "https://analytics-toolkit.nomad-coe.eu/hub/user-redirect/notebooks/tutorials/nn_regression.ipynb",
"link_public": "https://nomad-lab.eu/prod/analytics/public/user-redirect/notebooks/tutorials/nn_regression.ipynb", "link_public": "https://nomad-lab.eu/prod/analytics/public/user-redirect/notebooks/tutorials/nn_regression.ipynb",
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