Characterization of encapsulated graphene layers using extreme ultraviolet coherence tomography

Author:

Wiesner Felix12ORCID,Skruszewicz Slawomir123ORCID,Rödel Christian4,Abel Johann Jakob1,Reinhard Julius12,Wünsche Martin12,Nathanael Jan12,Grünewald Marco,Hübner Uwe5,Paulus Gerhard G.12,Fuchs Silvio12

Affiliation:

1. Friedrich Schiller University Jena

2. Helmholtz Institute Jena

3. Deutsches Elektronen Synchrotron DESY

4. Institute of Nuclear Physics

5. Leibniz Institute of Photonic Technology

Abstract

Many applications of two-dimensional materials such as graphene require the encapsulation in bulk material. While a variety of methods exist for the structural and functional characterization of uncovered 2D materials, there is a need for methods that image encapsulated 2D materials as well as the surrounding matter. In this work, we use extreme ultraviolet coherence tomography to image graphene flakes buried beneath 200 nm of silicon. We show that we can identify mono-, bi-, and trilayers of graphene and quantify the thickness of the silicon bulk on top by measuring the depth-resolved reflectivity. Furthermore, we estimate the quality of the graphene interface by incorporating a model that includes the interface roughness. These results are verified by atomic force microscopy and prove that extreme ultraviolet coherence tomography is a suitable tool for imaging 2D materials embedded in bulk materials.

Funder

Bundesministerium für Bildung und Forschung

Thüringer Aufbaubank

Deutsche Forschungsgemeinschaft

Helmholtz Associaton

Publisher

Optica Publishing Group

Subject

Atomic and Molecular Physics, and Optics

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3