Structural, optical, surface chemical, and electrochemical characterization of Aloe vera-assisted ZnO nanostructures for supercapattery applications

Green synthesis using Aloe vera yields defect-rich ZnO nanostructures with high capacitance (952.5 F g −1 at 1 A g −1 ) and excellent cycling stability (94.2%), offering a sustainable route for advanced supercapattery materials.

Authors

Institutions

Publication Details

Journal
Materials Advances
Published
2025-01-01
DOI
https://doi.org/10.1039/d5ma00556f
Citations
12
Primary Topic
Copper-based nanomaterials and applications
Type
article
Field-Weighted Citation Impact
6.21
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Structural, optical, surface chemical, and electrochemical characterization of Aloe vera-assisted ZnO nanostructures for supercapattery applications

Akarsh Verma, Mohit Bhatt, A. K. Sinha, Kajal Gautam
12 citations
Materials Advances
Copper-based nanomaterials and applications
6.21
article

Structural, optical, surface chemical, and electrochemical characterization of Aloe vera-assisted ZnO nanostructures for supercapattery applications

Akarsh Verma, Mohit Bhatt, A. K. Sinha, Kajal Gautam
article en
12 citations

Abstract

Green synthesis using Aloe vera yields defect-rich ZnO nanostructures with high capacitance (952.5 F g −1 at 1 A g −1 ) and excellent cycling stability (94.2%), offering a sustainable route for advanced supercapattery materials.

Materials AdvancesVol. 6(16)
University of Petroleum and Energy Studies (IN)
Openalex Percentile: Top 3%
Copper-based nanomaterials and applications
6.21
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.