From 29e13122d5a997468713ab5e1b1621f400e0a201 Mon Sep 17 00:00:00 2001
From: Fawzi Mohamed
Date: Sun, 4 Feb 2018 11:32:00 +0100
Subject: [PATCH] adding topological quantum phases predition (of Emre)
---
.../QSHI_trivial.demoinfo.yaml | 35 +++++++++++++++++++
1 file changed, 35 insertions(+)
create mode 100644 topological-quantum-phases/QSHI_trivial.demoinfo.yaml
diff --git a/topological-quantum-phases/QSHI_trivial.demoinfo.yaml b/topological-quantum-phases/QSHI_trivial.demoinfo.yaml
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+title: "Prediction of topological quantum phase transitions"
+logicalPath: "/data/shared/tutorialsNew/topological-quantum-phases/QSHI_trivial.bkr"
+authors: ["Ahmetcik, Emre", "Ziletti, Angelo", "Ouyang, Runhai", "Ghiringhelli, Luca", "Scheffler, Matthias"]
+editLink: "/notebook-edit/data/shared/tutorialsNew/topological-quantum-phases/QSHI_trivial.bkr"
+isPublic: true
+username: "tutorialsNew"
+description: >
+ This tutorial shows how to find descriptive parameters (short formulas) for the prediction of
+ topological phase transitions. As an example, we address the topological classification of
+ two-dimensional functionalized honeycomb-lattice materials, which are formally described by
+ the $Z_2$ topological invariant, i.e., $Z_2=0$ for trivial (normal) insulators and $Z_2=1$ for two-dimensional
+ topological insulators (quantum spin Hall insulators).
+ Using a recently developed machine learning based on compressed sensing, we then derive a map of
+ these materials, in which metals, trivial insulators, and quantum spin Hall insulators are separated
+ in different spatial domains.
+ The axes of this map are given by a physically meaningful descriptor, i.e., a non-linear analytic
+ function that only depends on the properties of the material's constituent atoms, but not on the properties
+ of the material itself.
+ 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"
+user_update: "2018-01-30"
+top_of_list: false
+featured: true
+labels:
+ category: ["Demo"]
+ platform: ["beaker"]
+ language: ["python", "javascript"]
+ data_analytics_method: ["Compressed Sensing", "SISSO"]
+ application_section: ["Materials property prediction"]
+ application_keyword: ["Qunatum Phase", "Topological insulator", "Classification"]
+ visualization: ["NOMAD viewer"]
+ reference: ["https://arxiv.org/abs/1710.03319"]
--
GitLab