Update tutorials.json

tutorials.json

@@ -737,6 +737,53 @@
           "jupyter"
         ]
       }
+    },
+    {
+      "authors": [
+        "Leitherer, Andreas",
+        "Ziletti, Angelo",
+        "Ghiringhelli, Luca M."
+      ],
+      "email": "leitherer@fhi-berlin.mpg.de",
+      "title": "ARISE - Robust recognition and exploratory analysis of crystal structures via Bayesian-deep-learning",
+      "description": "In this tutorial we will give an introduction to ARISE (Leitherer, Ziletti, Ghiringhelli arXiv:2103.09777).",
+      "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",
+      "link_public": "https://analytics-toolkit.nomad-coe.eu/public/user-redirect/notebooks/tutorials/{tutorial}.ipynb",
+      "link_paper": "https://arxiv.org/abs/2103.09777",
+      "updated": "2021-03-22",
+      "flags":{
+        "featured": true,
+        "top_of_list": false,
+        "paper": true
+      },
+      "labels": {
+        "application_keyword": [
+          "Bayesian deep learning",
+          "Unsupervised learning",
+          "SOAP",
+          "grain boundaries",
+          "binaries",
+          "ternaries",
+          "low-dimensional materials"
+        ],
+        "application_section": [
+          "Timely artificial-intelligence applications to Materials science"
+        ],
+        "application_system": [
+          "System"
+        ],
+        "category": [
+          "Tutorial"
+        ],
+        "data_analytics_method": [
+          "Bayesian deep learning",
+          "Unsupervised learning"
+        ],
+        "platform": [
+          "jupyter"
+        ]
+      }
     }
   ]
 }