diff --git a/www-root/userapi/demos/index.json b/www-root/userapi/demos/index.json
index 6791d2a14e50f3c50c2446321bf34253919d9efe..6d496d6a901ca796a24b30e59f88f17f20c45221 100644
--- a/www-root/userapi/demos/index.json
+++ b/www-root/userapi/demos/index.json
@@ -1003,6 +1003,53 @@
       },
       "id": "/custom-analytics-example/custom-analytics-example.demoinfo.yaml",
       "type": "demos"
+    },
+    {
+      "attributes": {
+        "authors": [
+          "Ziletti, Angelo",
+          "Kumar, Devinder",
+          "Scheffler, Matthias",
+          "Ghiringhelli, Luca"
+        ],
+        "created_at": "2019-01-23T11:56:28.881Z",
+        "description": "In this notebook, we use a machine learning-based approach to automatically classify structures by crystal symmetry; first, we represent crystals by a diffraction image, then use a neural network for classification. The notebook allows to reproduce the main results of: A. Ziletti, D. Kumar, M. Scheffler and L. M. Ghiringhelli, Nature Communications 9, 2775 (2018)",
+        "editLink": "/beaker/cM/start/home/beaker/tutorials/insightful_class_deep_learning_nature_comm2018.bkr?image=analytics-toolkit.nomad-coe.eu:5509/ziletti/face-of-crystals-2017:v2.0.3-squashed",
+        "featured": true,
+        "isPublic": true,
+        "labels": {
+          "application_keyword": [
+            "Crystals",
+            "Structure"
+          ],
+          "application_section": [
+            "Structure classification",
+            "Solids"
+          ],
+          "category": [
+            "Demo"
+          ],
+          "data_analytics_method": [
+            "Neural networks",
+            "Deep learning"
+          ],
+          "language": [
+            "python",
+            "javascript"
+          ],
+          "platform": [
+            "beaker"
+          ]
+        },
+        "logicalPath": "/beaker/cM/start/home/beaker/tutorials/insightful_class_deep_learning_nature_comm2018.bkr?image=analytics-toolkit.nomad-coe.eu:5509/ziletti/face-of-crystals-2017:v2.0.3-squashed",
+        "title": "Insightful classification of crystal structures using deep learning",
+        "top_of_list": false,
+        "updated_at": "2019-01-23T11:56:28.881Z",
+        "user_update": "2019-01-23",
+        "username": "tutorialsNew"
+      },
+      "id": "",
+      "type": "demos"
     }
   ]
 }
\ No newline at end of file