Commit 17543799 authored by Luca Ghiringhelli's avatar Luca Ghiringhelli

Added user_update and top_of_list labels (with values)

parent 7f12fa07
......@@ -7,7 +7,9 @@ username: "rsant"
description: "A tool for predicting ground state configurations of binary alloys. In this tutorial, the ground state configurations of a AlNa surface alloy are found. Starting from a set of ab initio data for random configurations of the alloy, a cluster expansion is performed and the ground states are found through a configurational sampling."
created_at: "2017-10-06T16:00:10.746Z"
updated_at: "2017-10-06T16:00:10.746Z"
user_update: "2017-05-15"
labels:
top_of_list: false
category: ["Demo"]
platform: ["beaker"]
language: ["python"]
......
......@@ -11,7 +11,9 @@
"description": "A tool for predicting ground state configurations of binary alloys. In this tutorial, the ground state configurations of a SiGe binary alloy are found. Starting from a set of ab initio data for random configurations of the alloy, a cluster expansion is performed and the ground states are found through a configurational sampling.",
"created_at": "2017-10-06T16:00:48.038Z",
"updated_at": "2017-10-06T16:00:48.038Z",
"labels" : {
"user_update": "2017-05-15",
"labels" : {
"top_of_list": false,
"category" : ["Demo"],
"platform" : ["beaker"],
"language" : ["python"],
......
......@@ -11,7 +11,9 @@
"description": "A tool that produces two-dimensional structure maps for octet binary compounds, starting from a high-dimensional set of coordinates (features) that identify each material (data point), based on free-atom data of the atomic species constituting the binary material.",
"created_at": "2017-11-13T13:56:41.082Z",
"updated_at": "2017-11-13T13:56:41.082Z",
"labels" : {
"user_update": "2017-05-12",
"labels" : {
"top_of_list": false,
"category" : ["Demo"],
"platform" : ["beaker"],
"language" : ["python", "javascript"],
......
......@@ -11,7 +11,9 @@
"description": "A set of tools to analyze the error in electronic structure calculations due to the choice of numerical settings. We use the NOMAD infrastructure to systematically investigate the deviances in total and relative energies as function of typical settings for basis sets, k-grids, etc. for 71 elemental and 81 binary solids in four different electronic-structure codes.",
"created_at": "2017-11-13T13:56:39.770Z",
"updated_at": "2017-11-13T13:56:39.770Z",
"labels" : {
"user_update": "2017-09-28",
"labels" : {
"top_of_list": true,
"category" : "Demo",
"platform" : "beaker",
"language" : ["python", "javascript"],
......
......@@ -11,7 +11,9 @@
"description": "This tutorial makes use of Gaussian process (GP) regression in order to assess the complexity of a given system. This can be defined as the data set size necessary to the GP to predict a target property (eg. atomic forces, total energy of a configuration). The currently available data is the atomic forces in the mono-crystalline silicon at 300K, 1200K and 3000K.",
"created_at": "2017-11-13T13:56:37.859Z",
"updated_at": "2017-11-13T13:56:37.859Z",
"labels" : {
"user_update": "2017-05-15",
"labels" : {
"top_of_list": false,
"category" : ["Demo"],
"platform" : ["beaker"],
"language" : ["python", "javascript"],
......
......@@ -11,7 +11,9 @@
"description": "This tutorial introduces from scratch and step by step: Compressed sensing, LASSO, and SISSO for materials property prediction",
"created_at": "2017-11-13T13:56:35.532Z",
"updated_at": "2017-11-13T13:56:35.532Z",
"labels" : {
"user_update": "2017-09-29",
"labels" : {
"top_of_list": false,
"category" : ["Demo"],
"platform" : ["beaker"],
"language" : ["python", "javascript"],
......
......@@ -11,7 +11,9 @@
"description": "A tool for predicting the difference in the total energy between different polymorphs for 82 octet binary compounds, which gives an indication of the stability of the material. This is accomplished by identifying a set of descriptive parameters (a descriptor) from the free-atom data for the binary atomic species comprising the material using LASSO + l0-norm minimization approach.",
"created_at": "2017-11-13T13:56:35.502Z",
"updated_at": "2017-11-13T13:56:35.502Z",
"labels" : {
"user_update": "2017-05-10",
"labels" : {
"top_of_list": false,
"category" : ["Demo"],
"platform" : ["beaker"],
"language" : ["python", "javascript"],
......
......@@ -11,6 +11,9 @@
"description": "A tutorial introduction on how to perform a query over the NOMAD Archive, by means of a light and intuitive GUI, and browse the results",
"created_at": "2017-11-27T11:15:03.028Z",
"updated_at": "2017-11-27T11:15:03.028Z",
"user_update": "2017-11-27",
"labels" : {
"top_of_list": true,
"labels" : {
"category" : ["Demo"],
"platform" : ["beaker"],
......
......@@ -11,7 +11,9 @@
"description": "In this notebook, we use the Nomad infrastructure to query a limited number of atomic data collections and to visualize them in the periodic table of elements. There are several filters that can be applied to atomic data collections and a field to select which atomic property should be visualized in the periodic table of elements.",
"created_at": "2017-11-13T13:56:28.881Z",
"updated_at": "2017-11-13T13:56:28.881Z",
"labels" : {
"user_update": "2017-06-06",
"labels" : {
"top_of_list": false,
"category" : ["Demo"],
"platform" : ["beaker"],
"language" : ["python", "javascript"],
......
......@@ -12,7 +12,9 @@
"description": "Developed by .A tool that produces compositional phase diagrams. As an example we consider materials made of Li-Fe-P-O. Phase diagrams are generally useful to determine if a given material is thermodynamically stable under certain conditions such as temperature, pressure etc. In this tutorial, we consider only a compositional phase diagram at zero temperature and pressure.",
"created_at": "2017-11-13T13:56:28.853Z",
"updated_at": "2017-11-13T13:56:28.853Z",
"labels" : {
"user_update": "2017-05-15",
"labels" : {
"top_of_list": false,
"category" : ["Demo"],
"platform" : ["beaker"],
"language" : ["python", "javascript"],
......
......@@ -11,7 +11,9 @@
"description": "A tool for building machine-learning models for rapidly and accurately predicting outcomes of electronic structure calculations (reference data). In this tutorial, kernel ridge regression models are built to predict the atomization energy of small organic molecules.",
"created_at": "2017-11-13T13:56:28.774Z",
"updated_at": "2017-11-13T13:56:28.774Z",
"labels" : {
"user_update": "2017-05-17",
"labels" : {
"top_of_list": false,
"category" : ["Demo"],
"platform" : ["beaker"],
"language" : ["python", "javascript"],
......
......@@ -11,7 +11,9 @@
"description": "A tool for predicting the difference in the total energy between different polymorphs for 82 octet binary compounds, which gives an indication of the stability of the material. This is accomplished by identifying a set of descriptive parameters (a descriptor) from the free-atom data for the binary atomic species comprising the material using the Sure Independent Screening (SIS) + l0-norm minimization approach.",
"created_at": "2017-11-13T13:56:28.391Z",
"updated_at": "2017-11-13T13:56:28.391Z",
"user_update": "2017-10-16",
"labels" : {
"top_of_list": false,
"category" : ["Demo"],
"platform" : ["beaker"],
"language" : ["python", "javascript"],
......
......@@ -11,7 +11,9 @@
"description": "This tutorial shows how to find descriptive parameters (short formulas) for the classification of materials properties. As an example, we address the classification of elemental and binary systems Ax​​By​​ into metals and non metals using experimental data extracted from the SpringerMaterials data base. The method is based on the algorithm sure independence screening and sparsifying operator (SISSO), which enables to search for optimal descriptors by scanning huge feature spaces. ",
"created_at": "2017-11-13T13:56:28.375Z",
"updated_at": "2017-11-13T13:56:28.375Z",
"labels" : {
"user_update": "2017-11-09",
"labels" : {
"top_of_list": false,
"category" : ["Demo"],
"platform" : ["beaker"],
"language" : ["python", "javascript"],
......
......@@ -11,7 +11,9 @@
"description": "A tool for mapping and visualizing materials databases using generic kernel- and graph-based similarity measures together with the powerful Smooth Overlap of Atomic Positions (SOAP) descriptor for atomic environments.",
"created_at": "2017-11-13T13:56:28.355Z",
"updated_at": "2017-11-13T13:56:28.355Z",
"labels" : {
"user_update": "2017-05-16",
"labels" : {
"top_of_list": false,
"category" : ["Demo"],
"platform" : ["beaker"],
"language" : ["python", "javascript"],
......
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