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. Non-invasive digital etching of van der Waals semiconductors

Verified authors • Institutional access • DOI aware
50,000+ researchers120,000+ datasets90% satisfaction
Preprint
en
2023

Non-invasive digital etching of van der Waals semiconductors

0 Datasets

0 Files

en
2023
DOI: 10.21203/rs.3.rs-361881/v1dx.doi.org/10.21203/rs.3.rs-361881/v1

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.
Kenji Watanabe
Kenji Watanabe

Institution not specified

Verified
Jian Zhou
Chunchen Zhang
Li Shi
+16 more

Abstract

Abstract The capability to finely tailor material thickness with simultaneous atomic precision and non-invasivity would be useful for constructing quantum platforms and post-Moore microelectronics. However, it remains challenging to attain synchronized controls over tailoring selectivity and precision. Here we report a protocol that allows for non-invasive and atomically digital etching of van der Waals transition-metal dichalcogenides through selective alloying via low-temperature thermal diffusion and subsequent wet etching. The mechanism of selective alloying between sacrifice metal atoms and defective or pristine dichalcogenides is analyzed with high-resolution scanning transmission electron microscopy. Also, the non-invasive nature and atomic level precision of our etching technique are corroborated by consistent spectral, crystallographic and electrical characterization measurements. The low-temperature charge mobility of as-etched MoS 2 reaches up to 1200 cm 2 V -1 s -1 , comparable to that of exfoliated pristine counterparts. The entire protocol represents a highly precise and non-invasive tailoring route for material manipulation.

How to cite this publication

Jian Zhou, Chunchen Zhang, Li Shi, Xiaoqing Chen, Tae Soo Kim, Minseung Gyeon, Jian Chen, Jinlan Wang, Linwei Yu, Xinran Wang, Kibum Kang, Emanuele Orgiu, Paolo Samorı́, Kenji Watanabe, Takashi Taniguchi, Kazuhito Tsukagoshi, Peng Wang, Yi Shi, Songlin Li (2023). Non-invasive digital etching of van der Waals semiconductors. , DOI: https://doi.org/10.21203/rs.3.rs-361881/v1.

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

Preprint

Year

2023

Authors

19

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.21203/rs.3.rs-361881/v1

Join Research Community

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

Get Free Access