High entropy spinel oxide (Ni <sub>0.2</sub> Co <sub>0.2</sub> Zn <sub>0.2</sub> Cu <sub>0.2</sub> Mg <sub>0.2</sub> )Fe <sub>2</sub> O <sub>4</sub> nanofibers for efficient oxygen evolution reaction

Developing efficient oxygen evolution reaction (OER) catalysts is urgent for the production of clean hydrogen energy.

Authors

Institutions

Publication Details

Journal
Journal of Materials Chemistry A
Published
2024-11-22
DOI
https://doi.org/10.1039/d4ta06051b
Citations
16
Primary Topic
Electrocatalysts for Energy Conversion
Type
article
Field-Weighted Citation Impact
1.64
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

High entropy spinel oxide (Ni 0.2 Co 0.2 Zn 0.2 Cu 0.2 Mg 0.2 )Fe 2 O 4 nanofibers for efficient oxygen evolution reaction

Sheng Dai, Yaning Fan, Chuandong He, Qiang Niu et al.
16 citations
Journal of Materials Chemistry A
Electrocatalysts for Energy Conversion
1.64
article

High entropy spinel oxide (Ni 0.2 Co 0.2 Zn 0.2 Cu 0.2 Mg 0.2 )Fe 2 O 4 nanofibers for efficient oxygen evolution reaction

Sheng Dai, Yaning Fan, Chuandong He, Qiang Niu, Pengfei Zhang, Junjun Zhang, Mengyuan Zhang, Xuanyu Zhou, Kongliang Luo
article en
16 citations

Abstract

Developing efficient oxygen evolution reaction (OER) catalysts is urgent for the production of clean hydrogen energy.

Journal of Materials Chemistry AVol. 13(2)
Oak Ridge National Laboratory (US), Shanghai Jiao Tong University (CN), Ningxia University (CN), Inner Mongolia Electric Power (China) (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 17%
Electrocatalysts for Energy Conversion
1.64
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.