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. Seamless lateral graphene p–n junctions formed by selective in situ doping for high-performance photodetectors

Verified authors • Institutional access • DOI aware
50,000+ researchers120,000+ datasets90% satisfaction
Article
en
2018

Seamless lateral graphene p–n junctions formed by selective in situ doping for high-performance photodetectors

0 Datasets

0 Files

en
2018
Vol 9 (1)
Vol. 9
DOI: 10.1038/s41467-018-07555-6

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.
Paul Kim Ho Chu
Paul Kim Ho Chu

Institution not specified

Verified
Gang Wang
Miao Zhang
Da Chen
+14 more

Abstract

Lateral graphene p-n junctions are important since they constitute the core components in a variety of electronic/photonic systems. However, formation of lateral graphene p-n junctions with a controllable doping levels is still a great challenge due to the monolayer feature of graphene. Herein, by performing selective ion implantation and in situ growth by dynamic chemical vapor deposition, direct formation of seamless lateral graphene p-n junctions with spatial control and tunable doping is demonstrated. Uniform lattice substitution with heteroatoms is achieved in both the boron-doped and nitrogen-doped regions and photoelectrical assessment reveals that the seamless lateral p-n junctions exhibit a distinct photocurrent response under ambient conditions. As ion implantation is a standard technique in microelectronics, our study suggests a simple and effective strategy for mass production of graphene p-n junctions with batch capability and spatial controllability, which can be readily integrated into the production of graphene-based electronics and photonics.

How to cite this publication

Gang Wang, Miao Zhang, Da Chen, Qinglei Guo, Xuefei Feng, Tianchao Niu, Xiaosong Liu, Ang Li, Jiawei Lai, Dong Sun, Zhi‐Min Liao, Yongqiang Wang, Paul Kim Ho Chu, Guqiao Ding, Xiaoming Xie, Zengfeng Di, Xi Wang (2018). Seamless lateral graphene p–n junctions formed by selective in situ doping for high-performance photodetectors. , 9(1), DOI: https://doi.org/10.1038/s41467-018-07555-6.

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

2018

Authors

17

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1038/s41467-018-07555-6

Join Research Community

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

Get Free Access