PY-Nodes: An ab-initio python code for searching nodes in a material using Nelder-Mead's simplex approach
Vivek Pandey, Sudhir K. Pandey

TL;DR
PY-Nodes is a Python 3 code interfaced with WIEN2k that efficiently identifies topological nodes in materials, validated on various semimetals, aiding the understanding of their electronic properties.
Contribution
The paper introduces PY-Nodes, a novel Python-based tool for ab-initio detection of topological nodes in materials, integrated with WIEN2k for improved accuracy.
Findings
Successfully identified nodes in TaAs, Na3Bi, CaAgAs, and YAuPb.
Results match previous studies, confirming reliability.
Demonstrated efficiency in locating various types of nodes.
Abstract
With the discovery of topological semimetals, it has been found that the band touching points near the Fermi level are of great importance. They give rise to many exciting phenomena in these materials. Moreover, these points, commonly known as nodes, are related to several properties of these semimetals. Thus, the proper estimation of their coordinates is extremely needed for better understanding of the properties of these materials. We have designed a Python 3 based code named PY-Nodes for efficiently finding the nodes present in a given material using first-principle approach. The present version of the code is interfaced with the WIEN2k package. For benchmarking the code, it has been tested on some famous materials which possess characteristic nodes. These include - TaAs, a well-known Weyl semimetal, NaBi, which is categorized as Dirac semimetal, CaAgAs, classified as a…
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Taxonomy
TopicsTopological Materials and Phenomena · Graphene research and applications · Surface and Thin Film Phenomena
