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Commit bbbf242e authored by Xiangyue Liu's avatar Xiangyue Liu
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Update index.json

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...@@ -953,16 +953,16 @@ ...@@ -953,16 +953,16 @@
{ {
"attributes": { "attributes": {
"authors": [ "authors": [
Xiangyue Liu", "Xiangyue Liu",
Christopher Sutton", "Christopher Sutton",
Luca M. Ghiringhelli", "Luca M. Ghiringhelli",
Takenori Yamamoto", "Takenori Yamamoto",
Yury Lysogorskiy", "Yury Lysogorskiy",
Lars Blumenthal", "Lars Blumenthal",
Thomas Hammerschmidt", "Thomas Hammerschmidt",
Jacek Golebiowski", "Jacek Golebiowski",
Angelo Ziletti", "Angelo Ziletti",
Matthias Scheffler" "Matthias Scheffler"
], ],
"created_at": "", "created_at": "",
"description": "The NOMAD Kaggle competition in 2018 is crowd-sourced data analytics competition with Kaggle, to develop or apply data analytics models for the prediction of the formation energy and the bandgap energy to facilitate the discovery of new transparent conductors. In this tutorial we examine the performance of the winning representations n-grams and SOAP combined with different regression models, including kernel ridge regression and neural network.", "description": "The NOMAD Kaggle competition in 2018 is crowd-sourced data analytics competition with Kaggle, to develop or apply data analytics models for the prediction of the formation energy and the bandgap energy to facilitate the discovery of new transparent conductors. In this tutorial we examine the performance of the winning representations n-grams and SOAP combined with different regression models, including kernel ridge regression and neural network.",
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