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. Energy‐Saving Electrolytic Hydrogen Generation: Ni<sub>2</sub>P Nanoarray as a High‐Performance Non‐Noble‐Metal Electrocatalyst

Verified authors • Institutional access • DOI aware
50,000+ researchers120,000+ datasets90% satisfaction
Article
en
2016

Energy‐Saving Electrolytic Hydrogen Generation: Ni<sub>2</sub>P Nanoarray as a High‐Performance Non‐Noble‐Metal Electrocatalyst

0 Datasets

0 Files

en
2016
Vol 56 (3)
Vol. 56
DOI: 10.1002/anie.201608899

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.
Abdullah Mohamed Asiri
Abdullah Mohamed Asiri

Institution not specified

Verified
Chun Tang
Rong Zhang
Wenbo Lu
+6 more

Abstract

It is highly attractive but challenging to develop earth-abundant electrocatalysts for energy-saving electrolytic hydrogen generation. Herein, we report that Ni2 P nanoarrays grown in situ on nickel foam (Ni2 P/NF) behave as a durable high-performance non-noble-metal electrocatalyst for hydrazine oxidation reaction (HzOR) in alkaline media. The replacement of the sluggish anodic oxygen evolution reaction with such the more thermodynamically favorable HzOR enables energy-saving electrochemical hydrogen production with the use of Ni2 P/NF as a bifunctional catalyst for anodic HzOR and cathodic hydrogen evolution reaction. When operated at room temperature, this two-electrode electrolytic system drives 500 mA cm-2 at a cell voltage as low as 1.0 V with strong long-term electrochemical durability and 100 % Faradaic efficiency for hydrogen evolution in 1.0 m KOH aqueous solution with 0.5 m hydrazine.

How to cite this publication

Chun Tang, Rong Zhang, Wenbo Lu, Zao Wang, Danni Liu, Shuai Hao, Gu Du, Abdullah Mohamed Asiri, Xuping Sun (2016). Energy‐Saving Electrolytic Hydrogen Generation: Ni<sub>2</sub>P Nanoarray as a High‐Performance Non‐Noble‐Metal Electrocatalyst. , 56(3), DOI: https://doi.org/10.1002/anie.201608899.

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

2016

Authors

9

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1002/anie.201608899

Join Research Community

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

Get Free Access