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Commit 751e4fea authored by Luigi Sbailo's avatar Luigi Sbailo
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Update metainfo.json

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...@@ -11,9 +11,9 @@ ...@@ -11,9 +11,9 @@
"Angelo, Ziletti", "Angelo, Ziletti",
"Matthias, Scheffler" "Matthias, Scheffler"
], ],
"email": "xyliu@fhi-berlin.mpg.de", "email": "ghiringhelli@fhi-berlin.mpg.de",
"title": "NOMAD 2018 Kaggle research competition", "title": "NOMAD 2018 Kaggle research competition",
"description": "In this tutorial we will ...", "description": "In this tutorial we will explore the best results of the NOMAD 2018 Kaggle research competition. The goal of this competition was to develop or apply data analytics models for the prediction of two target properties: the formation energy and the bandgap energy to facilitate the discovery of new transparent conductors and allow for advancements in (opto)electronic technologies",
"url": "https://gitlab.mpcdf.mpg.de/nomad-lab/analytics-kaggle-competition", "url": "https://gitlab.mpcdf.mpg.de/nomad-lab/analytics-kaggle-competition",
"link": "https://analytics-toolkit.nomad-coe.eu/hub/user-redirect/notebooks/tutorials/Welcome.ipynb", "link": "https://analytics-toolkit.nomad-coe.eu/hub/user-redirect/notebooks/tutorials/Welcome.ipynb",
"created": "", "created": "",
...@@ -25,20 +25,21 @@ ...@@ -25,20 +25,21 @@
}, },
"labels": { "labels": {
"application_keyword": [ "application_keyword": [
"keyword1", "Transparency",
"keyword2" "Conductivity"
], ],
"application_section": [ "application_section": [
"Materials property prediction" "Materials property prediction"
], ],
"application_system": [ "application_system": [
"System" "Transparent conducting materials"
], ],
"category": [ "category": [
"Tutorial" "Tutorial"
], ],
"data_analytics_method": [ "data_analytics_method": [
"Clustering" "Kernel ridge regression",
"Neural networks"
], ],
"platform": [ "platform": [
"jupyter" "jupyter"
......
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