Raw Data Library
About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User Guide
Green Science
​
​
EN
Kurumsal BaşvuruSign inGet started
​
​

About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User GuideGreen Science

Language

Kurumsal Başvuru

Sign inGet started
RDL logo

Verified research datasets. Instant access. Built for collaboration.

Navigation

About

Aims and Scope

Advisory Board Members

More

Who We Are?

Contact

Add Raw Data

User Guide

Legal

Privacy Policy

Terms of Service

Support

Got an issue? Email us directly.

Email: info@rawdatalibrary.netOpen Mail App
​
​

© 2026 Raw Data Library. All rights reserved.
PrivacyTermsContact
  1. Raw Data Library
  2. /
  3. Publications
  4. /
  5. Giant optical anisotropy in transition metal dichalcogenides for next-generation photonics

Verified authors • Institutional access • DOI aware
50,000+ researchers120,000+ datasets90% satisfaction
Article
English
2021

Giant optical anisotropy in transition metal dichalcogenides for next-generation photonics

0 Datasets

0 Files

English
2021
Nature Communications
Vol 12 (1)
DOI: 10.1038/s41467-021-21139-x

Get instant academic access to this publication’s datasets.

Create free accountHow it works

Frequently asked questions

Is access really free for academics and students?

Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.

How is my data protected?

Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.

Can I request additional materials?

Yes, message the author after sign-up to request supplementary files or replication code.

Advance your research today

Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.

Get free academic accessLearn more
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaboration
Access Research Data

Join our academic network to download verified datasets and collaborate with researchers worldwide.

Get Free Access
Institutional SSO
Secure
This PDF is not available in different languages.
No localized PDFs are currently available.
Konstantin ‘kostya’  Novoselov
Konstantin ‘kostya’ Novoselov

The University of Manchester

Verified
Georgy A. Ermolaev
Dmitriy Grudinin
Yury V. Stebunov
+17 more

Abstract

Large optical anisotropy observed in a broad spectral range is of paramount importance for efficient light manipulation in countless devices. Although a giant anisotropy was recently observed in the mid-infrared wavelength range, for visible and near-infrared spectral intervals, the problem remains acute with the highest reported birefringence values of 0.8 in BaTiS3 and h-BN crystals. This inspired an intensive search for giant optical anisotropy among natural and artificial materials. Here, we demonstrate that layered transition metal dichalcogenides (TMDCs) provide an answer to this quest owing to their fundamental differences between intralayer strong covalent bonding and weak interlayer van der Walls interaction. To do this, we carried out a correlative far- and near-field characterization validated by first-principle calculations that reveals an unprecedented birefringence of 1.5 in the infrared and 3 in the visible light for MoS2. Our findings demonstrate that this outstanding anisotropy allows for tackling the diffraction limit enabling an avenue for on-chip next-generation photonics.

How to cite this publication

Georgy A. Ermolaev, Dmitriy Grudinin, Yury V. Stebunov, К. В. Воронин, Vasyl G. Kravets, Jiahua Duan, Arslan Mazitov, Gleb Tselikov, Andrei Bylinkin, Dmitry I. Yakubovsky, Sergey M. Novikov, Denis G. Baranov, Alexey Y. Nikitin, Ivan A. Kruglov, Timur Shegai, Pablo Alonso‐González, A. N. Grigorenko, Aleksey V. Arsenin, Konstantin ‘kostya’ Novoselov, Valentyn S. Volkov (2021). Giant optical anisotropy in transition metal dichalcogenides for next-generation photonics. Nature Communications, 12(1), DOI: 10.1038/s41467-021-21139-x.

Related publications

Why join Raw Data Library?

Quality

Datasets shared by verified academics with rich metadata and previews.

Control

Authors choose access levels; downloads are logged for transparency.

Free for Academia

Students and faculty get instant access after verification.

Publication Details

Type

Article

Year

2021

Authors

20

Datasets

0

Total Files

0

Language

English

Journal

Nature Communications

DOI

10.1038/s41467-021-21139-x

Join Research Community

Access datasets from 50,000+ researchers worldwide with institutional verification.

Get Free Access