Remarkable Optoelectronic Characteristics of Synthesizable Square-Octagon Haeckelite Structures: Machine Learning Materials Discovery (Adv. Funct. Mater. 27/2024)

IF 18.5 1区 材料科学 Q1 CHEMISTRY, MULTIDISCIPLINARY Advanced Functional Materials Pub Date : 2024-07-03 DOI:10.1002/adfm.202470150
Ehsan Alibagheri, Ahmad Ranjbar, Mohammad Khazaei, Thomas D. Kühne, S. Mehdi Vaez Allaei
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Abstract

Haeckelite Structures

In article number 2402390, Ahmad Ranjbar, Mohammad Khazaei, S. Mehdi Vaez Allaei, and co-workers aim to discover squareoctagonal (Haeckelites) semiconducting binary structures. A subset of 350 candidate materials out of 1083 binary Haeckelite structures are identified using machine learning techniques and new descriptors. Through various analyses, including density functional theory calculations and evolutionary structure search, 13 stable Haeckelite compounds with excellent electronic properties are found, some showing high reflectivity and electron mobility, indicating potential for optoelectronic device applications.

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来源期刊
Advanced Functional Materials
Advanced Functional Materials 工程技术-材料科学:综合
CiteScore
29.50
自引率
4.20%
发文量
2086
审稿时长
2.1 months
期刊介绍: Firmly established as a top-tier materials science journal, Advanced Functional Materials reports breakthrough research in all aspects of materials science, including nanotechnology, chemistry, physics, and biology every week. Advanced Functional Materials is known for its rapid and fair peer review, quality content, and high impact, making it the first choice of the international materials science community.
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