Commit cf966254 authored by Luigi Sbailo's avatar Luigi Sbailo
Browse files
parents 53fcaf77 f0c99bde
Pipeline #90473 passed with stage
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......@@ -9,20 +9,23 @@
"email": "leitherer@fhi-berlin.mpg.de",
"title": "Hands-on tutorial: Regression using multilayer perceptrons",
"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)).",
"url": "https://gitlab.mpcdf.mpg.de/nomad-lab/analytics-tutorial-template",
"link": "https://analytics-toolkit.nomad-coe.eu/hub/user-redirect/notebooks/tutorials/{tutorial}.ipynb",
"url": "https://gitlab.mpcdf.mpg.de/nomad-lab/analytics-convolutional-nn",
"link": "https://nomad-lab.eu/prod/analytics/workshop/user-redirect/notebooks/tutorials/nn_regression.ipynb",
"link_video" : "https://youtu.be/YBy9STVaqvU",
"updated": "2020-04-09",
"flags": {
"featured": true,
"top_of_list": false
"top_of_list": false,
"video": false
},
"labels": {
"application_keyword": [
"Neural networks / deep learning",
"Neural networks",
"Deep learning",
"Descriptors"
],
"application_section": [
"Materials property prediction"
"Tutorials"
],
"application_system": [
"Inorganic compounds taken from the OQMD database"
......@@ -45,13 +48,15 @@
],
"email": "sbailo@fhi-berlin.mpg.de",
"title": "Exploratory analysis of octet-binary compounds ",
"description": "Exploratory analyses make use of unsupervised learning techniques to extract information from unknown datasets. In this tutorial, we make use of some of the most popular clustering and dimension reduction algorithms to analyze a dataset composed of 82 octet-binary compounds.",
"description": "Exploratory analyses make use of unsupervised learning techniques to extract information from unknown datasets. In this tutorial, we deploy some of the most popular clustering and dimension reduction algorithms to perform an exploratory analysis of a dataset composed of 82 octet-binary compounds.",
"url": "https://gitlab.mpcdf.mpg.de/nomad-lab/analytics-exploratory-analysis",
"link": "https://analytics-toolkit.nomad-coe.eu/hub/user-redirect/notebooks/tutorials/exploratory_analysis_tutorial.ipynb",
"link": "https://nomad-lab.eu/prod/analytics/workshop/user-redirect/notebooks/tutorials/exploratory_analysis.ipynb",
"link_video" : "www.youtube.com",
"updated": "2021-01-04",
"flags": {
"featured": true,
"top_of_list": false
"top_of_list": false,
"video": false
},
"labels": {
"application_keyword": [
......@@ -66,7 +71,7 @@
"Octet binaries"
],
"application_section": [
"Tutorials for artificial-intelligence methods"
"Tutorials"
],
"application_system": [
"octet-binary materials"
......@@ -93,11 +98,13 @@
"title": "Convolutional Neural network tutorial ",
"description": "In this tutorial, we briefly introduce the main ideas behind convolutional neural networks, build a neural network model with Keras, and explain the classification decision process using attentive response maps.",
"url": "https://gitlab.mpcdf.mpg.de/nomad-lab/analytics-convolutional-nn",
"link": "https://analytics-toolkit.nomad-coe.eu/hub/user-redirect/notebooks/tutorials/convolutional_nn.ipynb",
"link": "https://nomad-lab.eu/prod/analytics/workshop/user-redirect/notebooks/tutorials/convolutional_nn.ipynb",
"link_video" : "www.youtube.com",
"updated": "2019-04-01",
"flags": {
"featured": true,
"top_of_list": false
"top_of_list": false,
"video": false
},
"labels": {
"application_keyword": [
......@@ -105,7 +112,7 @@
"Neural Networks"
],
"application_section": [
"Tutorials for artificial-intelligence methods"
"Tutorials"
],
"application_system": [
"Images"
......@@ -132,12 +139,13 @@
"title": "Querying the Archive and performing Artificial Intelligence modeling",
"description": "In this tutorial, we demonstrate how to query the NOMAD Archive from the NOMAD Analytics toolkit. We then show examples of machine learning analysis performed on the retrieved data set.",
"url": "https://gitlab.mpcdf.mpg.de/nomad-lab/analytics-query-nomad-archive",
"link": "https://analytics-toolkit.nomad-coe.eu/hub/user-redirect/notebooks/tutorials/query_nomad_archive.ipynb",
"link_public": "https://analytics-toolkit.nomad-coe.eu/public/user-redirect/notebooks/tutorials/query_nomad_archive.ipynb",
"link": "https://nomad-lab.eu/prod/analytics/workshop/user-redirect/notebooks/tutorials/query_nomad_archive.ipynb",
"link_video" : "https://www.youtube.com/watch?v=Ozu-QCBB2bg",
"updated": "2020-05-03",
"flags": {
"featured": true,
"top_of_list": false
"top_of_list": false,
"video": true
},
"labels": {
"application_keyword": [
......@@ -145,7 +153,7 @@
"Data visualization"
],
"application_section": [
"Analysing the content of the Archive"
"Tutorials"
],
"application_system": [
"Materials"
......
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