Searching for electronically two dimensional metals in high-throughput ab initio databases
Source abstract
Abstract
Abstract Due to the high degree of improvement and prediction success of ab initio calculations, the advance in Materials Science has been partially shifted from the empirical chemical quest of new compounds to the systematic calculation of putative structures that can yield compounds with promising properties. In particular, two dimensional (2D) materials are at present a central target, as many potential devices rely on particular characteristics of a single layer of atoms or low dimensional electronic active sheets in bulk materials. Several works have focused on this paradigm, yielding a large list of new interesting 2D candidates. Here, we introduce a technique based on an algorithmic filter for searching prospective candidates in very large electronic structure databases. It is designed to detect electronic bands with low energy dispersion along particular directions in reciprocal space, i.e. those perpendicular to certain plane or surface. We propose it as an absolute criterion for obtaining all possible two dimensional compounds. With it we show that previous explorations have missed out a whole group of possible two dimensional materials, namely only electronically 2D.
Source: openaire · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: 2D Materials and Applications · Machine Learning in Materials Science · Electronic and Structural Properties of Oxides
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (39)
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