A novel algorithm for circumventing the need to model large supercells of mismatched material interfaces

IF 9.4 1区 材料科学 Q1 CHEMISTRY, PHYSICAL
Noam Levi Hadari, Maytal Caspary Toroker
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引用次数: 0

Abstract

A longstanding challenge in materials science has been the computational modeling of interfaces between materials with different lattice parameters. Traditional approaches using plane-wave basis sets require either introducing artificial strain through unified lattice parameters or constructing prohibitively large supercells to accommodate the mismatch. These limitations have often deterred researchers from investigating large, mismatched interfaces, creating a gap in the understanding of these important systems. This work introduces an innovative algorithm that adaptively tunes the plane-wave basis sets to match the periodic structure of each material across the interface. By eliminating the need for extensive supercells or compromised lattice parameters, this new method reduces computational costs while retaining reliable results. The ability to efficiently calculate the eigen-energies of such mismatched systems, a crucial step for full density functional theory (DFT) calculations, is demonstrated with two dimensional versions of InAs/Si and SiC/Si interface potentials.

Abstract Image

一种新的算法,避免了对不匹配材料界面的大型超级细胞进行建模的需要
材料科学中一个长期存在的挑战是具有不同晶格参数的材料之间界面的计算建模。使用平面波基集的传统方法要么需要通过统一的晶格参数引入人工应变,要么需要构建大得令人望而却步的超级单元来适应不匹配。这些限制常常阻碍研究人员对大型、不匹配的界面进行研究,从而在对这些重要系统的理解上造成了差距。这项工作引入了一种创新的算法,该算法自适应地调整平面波基集,以匹配界面上每种材料的周期结构。由于不需要大量的超级单元或折衷的晶格参数,这种新方法在保留可靠结果的同时降低了计算成本。利用二维版本的InAs/Si和SiC/Si界面势,证明了有效计算这种不匹配系统的本征能的能力,这是全密度泛函理论(DFT)计算的关键步骤。
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来源期刊
npj Computational Materials
npj Computational Materials Mathematics-Modeling and Simulation
CiteScore
15.30
自引率
5.20%
发文量
229
审稿时长
6 weeks
期刊介绍: npj Computational Materials is a high-quality open access journal from Nature Research that publishes research papers applying computational approaches for the design of new materials and enhancing our understanding of existing ones. The journal also welcomes papers on new computational techniques and the refinement of current approaches that support these aims, as well as experimental papers that complement computational findings. Some key features of npj Computational Materials include a 2-year impact factor of 12.241 (2021), article downloads of 1,138,590 (2021), and a fast turnaround time of 11 days from submission to the first editorial decision. The journal is indexed in various databases and services, including Chemical Abstracts Service (ACS), Astrophysics Data System (ADS), Current Contents/Physical, Chemical and Earth Sciences, Journal Citation Reports/Science Edition, SCOPUS, EI Compendex, INSPEC, Google Scholar, SCImago, DOAJ, CNKI, and Science Citation Index Expanded (SCIE), among others.
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