From 751e4feac362f44340e9a9a9ca86d2c4f67d9033 Mon Sep 17 00:00:00 2001
From: Luigi Sbailo <sbailo@fhi-berlin.mpg.de>
Date: Fri, 21 Feb 2020 18:05:28 +0100
Subject: [PATCH] Update metainfo.json
---
metainfo.json | 13 +++++++------
1 file changed, 7 insertions(+), 6 deletions(-)
diff --git a/metainfo.json b/metainfo.json
index 5ced9b8..e2ddf5e 100644
--- a/metainfo.json
+++ b/metainfo.json
@@ -11,9 +11,9 @@
"Angelo, Ziletti",
"Matthias, Scheffler"
],
- "email": "xyliu@fhi-berlin.mpg.de",
+ "email": "ghiringhelli@fhi-berlin.mpg.de",
"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",
"link": "https://analytics-toolkit.nomad-coe.eu/hub/user-redirect/notebooks/tutorials/Welcome.ipynb",
"created": "",
@@ -25,20 +25,21 @@
},
"labels": {
"application_keyword": [
- "keyword1",
- "keyword2"
+ "Transparency",
+ "Conductivity"
],
"application_section": [
"Materials property prediction"
],
"application_system": [
- "System"
+ "Transparent conducting materials"
],
"category": [
"Tutorial"
],
"data_analytics_method": [
- "Clustering"
+ "Kernel ridge regression",
+ "Neural networks"
],
"platform": [
"jupyter"
--
GitLab