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. Evidence of n‐type Doping in Cubic Boron Arsenide

Verified authors • Institutional access • DOI aware
50,000+ researchers120,000+ datasets90% satisfaction
Article
en
2025

Evidence of n‐type Doping in Cubic Boron Arsenide

0 Datasets

0 Files

en
2025
DOI: 10.1002/adma.202514590

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.
Junqiao Wu
Junqiao Wu

University of California, Berkeley

Verified
Jakub Kierdaszuk
Bob Wang
Ange Benise Niyikiza
+5 more

Abstract

Abstract Cubic boron arsenide (BAs) is a recently emerging semiconductor that has exceedingly high thermal conductivity. However, the lack of charge carrier concentration control in cubic BAs is a significant hindrance to its application in electronic devices. As‐grown micro crystals of BAs are reported to be unintentionally p‐type. Here, the evidence of inhomogeneous n‐type behavior in BAs crystals grown by an improved growth process reducing the impurities is present. Local n‐type doping is confirmed by four methods: current‐voltage measurement, scanning photocurrent microscopy, Kelvin Probe Force Microscopy, and Hall effect. Their analysis enables the formulation of a model describing BAs band bending on contacts and bias. Analysis of scanning photocurrent microscopy reveals that the diffusion length of minority carriers in BAs is substantial, reaching 33 µm. Defect analysis performed by current transient spectroscopy, photo‐induced current transient spectroscopy and X‐ray photoelectron spectroscopy shows that silicon‐substituted boron is a candidate for a donor in BAs. Presented results show the perspective for bipolar control of charge carrier type in BAs and consequently its application in better thermally managed microelectronics.

How to cite this publication

Jakub Kierdaszuk, Bob Wang, Ange Benise Niyikiza, Fengjiao Pan, Ying Peng, Zhifeng Ren, Dong Yu, Junqiao Wu (2025). Evidence of n‐type Doping in Cubic Boron Arsenide. , DOI: https://doi.org/10.1002/adma.202514590.

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

2025

Authors

8

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1002/adma.202514590

Join Research Community

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

Get Free Access