Update metainfo.json

metainfo.json

@@ -5,7 +5,7 @@
     "Ghiringhelli, Luca M."
   ],
   "email": "leitherer@fhi-berlin.mpg.de",
-  "title": "ARISE - Robust recognition and exploratory analysis of crystal structures via Bayesian-deep-learning",
+  "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/ARISE.ipynb",
@@ -18,27 +18,28 @@
     "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"
+      "Grain boundaries",
+      "Binaries",
+      "Ternaries",
+      "Low-dimensional materials"
     ],
     "category": [
       "advanced_tutorial"
     ],
-    "data_analytics_method": [
+    "ai_methods": [
+      "Supervised learning",
+      "Neural networks"
       "Bayesian deep learning",
       "Unsupervised learning"
+      "Clustering",
+      "Dimension reduction",
+      "HDBSCAN",
+      "UMAP",
+      "SOAP"
     ],
     "platform": [
       "jupyter"