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arXiv 2301.02844cond-mat.mtrl-scicond-mat.mes-hall
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基于通用从头算策略的拓扑超导体候选材料PdBi$_2$Te$_4$与PdBi$_2$Te$_5$

Topological superconductor candidates PdBi$_2$Te$_4$ and PdBi$_2$Te$_5$ from a generic ab initio strategy

Aiyun Luo, Ying Li, Yi Qin, Jingnan Hu, Biao Lian, Gang Xu

AI总结:

本研究提出将超导单元插入拓扑绝缘体的SCTMs设计策略及从头算BdG陈数的程序,发现PdBi$_2$Te$_4$和PdBi$_2$Te$_5$是可合成的理想SCTMs,为拓扑超导候选材料的设计与调控提供了新途径。

摘要:

超导拓扑金属(SCTMs)近年来已成为拓扑超导(TSC)和用于量子计算的马约拉纳零能模(MZMs)的极具前景的研究平台。尽管SCTMs在基础研究和应用领域都具有重要意义,但它们在自然界中极为稀有。此外,近期已有部分具备拓扑电子结构的超导体被报道,但目前仍缺乏一套可行的方案来判定其拓扑超导特性。本文提出了一种将超导单元插入拓扑绝缘体以设计SCTMs的新策略,还开发了一套通过从头算表征二维Bogoliubov-de Gennes(BdG)哈密顿量的超导BdG陈数的程序。遵循该策略,研究发现PdBi$_2$Te$_5$和PdBi$_2$Te$_4$可通过实验合成,是理想的SCTMs。在此类SCTMs中,将拓扑表面态与塞曼效应相结合即可实现手性拓扑超导,塞曼效应可通过外加磁场或与铁磁(FM)绝缘体邻近耦合实现。本研究的策略为识别SCTMs和拓扑超导候选材料提供了新方法,所开发的程序也使得通过从头算设计与调控拓扑超导候选材料成为可能。

英文摘要:

Superconducting topological metals (SCTMs) have recently emerged as a promising platform of topological superconductivity (TSC) and Majorana zero modes(MZMs) for quantum computation. Despite their importance in both fundamental research and applications, SCTMs are very rare in nature. In addition, some superconductors with topological electronic structures have been reported recently, but a feasible program to determine their TSC properties is still lacking. Here, we propose a new strategy to design SCTMs by intercalating the superconducting units into the topological insulators. A program that characterizes the superconducting BdG Chern number of 2D BdG Hamiltonian from ab initio calculations is also developed. Following this strategy, PdBi$_2$Te$_5$ and PdBi$_2$Te$_4$ are found to be experimentally synthesizable and ideal SCTMs. Chiral TSC could be realized in such SCTMs by incorporating topological surface states with Zeeman effect, which can be realized by an external magnetic field or in proximity to ferromagnetic (FM) insulator. Our strategy provides a new method for identifying the SCTMs and TSC candidates, and the program makes it possible to design and modulate the TSC candidates from ab initio calculations.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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