Exploring Flat-Band Properties in Two-Dimensional M3QX7 Compounds

IF 2.9 3区 化学 Q3 CHEMISTRY, PHYSICAL Physical Chemistry Chemical Physics Pub Date : 2024-06-19 DOI:10.1039/d4cp01196a
Haichen Wang, Tomas Rauch, Andres Tellez, Wirtz Ludger, Aldo Humberto Romero Castro, Miguel A., L. Marques
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Abstract

We present a computational study of the M3QX7 family of two-dimensional compounds, focusing specifically on their flat-band properties. We use a high-throughput search methodology, accelerated by machine learning, to explore the vast chemical space spawned by this family. In this way, we identify numerous stable 2D compounds within the M3QX7 family. We investigate how the chemical composition can be manipulated to modulate the position and dispersion of the flat bands. By employing a tight-binding model we explain the formation of flat bands as a result of a relatively loose connection between triangular M3QX3 clusters via bridges of X atoms. The model provides an understanding of the residual interactions that can impact the band dispersion. The same loose connection between clusters that leads to strongly localized electronic states and thus flat electronic bands also leads to localized phonon modes and flat bands in the phonon dispersion.
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探索二维 M3QX7 化合物的平带特性
我们介绍了对二维化合物 M3QX7 家族的计算研究,特别关注它们的平带特性。我们利用机器学习加速的高通量搜索方法来探索该家族产生的巨大化学空间。通过这种方法,我们在 M3QX7 家族中发现了许多稳定的二维化合物。我们研究了如何操纵化学成分来调节平带的位置和分散。通过采用紧密结合模型,我们解释了平带的形成是三角形 M3QX3 团簇之间通过 X 原子桥形成相对松散连接的结果。该模型提供了对可能影响带色散的残余相互作用的理解。簇之间的松散连接会导致强局部电子态,从而产生平坦的电子带,同样也会导致局部声子模式和声子频散中的平坦带。
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来源期刊
Physical Chemistry Chemical Physics
Physical Chemistry Chemical Physics 化学-物理:原子、分子和化学物理
CiteScore
5.50
自引率
9.10%
发文量
2675
审稿时长
2.0 months
期刊介绍: Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.
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