Correction: Self-powered, online, highly sensitive lubricating oil acidity monitoring driven by a triboelectric sensor

Correction for ‘Self-powered, online, highly sensitive lubricating oil acidity monitoring driven by a triboelectric sensor’ by Bin Ge et al. , J. Mater. Chem. A , 2025, https://doi.org/10.1039/D5TA00241A.

Authors

Institutions

Publication Details

Journal
Journal of Materials Chemistry A
Published
2025-01-01
DOI
https://doi.org/10.1039/d5ta90139a
Primary Topic
Lubricants and Their Additives
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Correction: Self-powered, online, highly sensitive lubricating oil acidity monitoring driven by a triboelectric sensor

Yijun Shi, Liang Dong, Yajie Zhang, Wei Wu et al.
Journal of Materials Chemistry A
Lubricants and Their Additives
article

Correction: Self-powered, online, highly sensitive lubricating oil acidity monitoring driven by a triboelectric sensor

Yijun Shi, Liang Dong, Yajie Zhang, Wei Wu, Bin Ge, Yi Liu, Jun Zhao, Yi Lei
article en

Abstract

Correction for ‘Self-powered, online, highly sensitive lubricating oil acidity monitoring driven by a triboelectric sensor’ by Bin Ge et al. , J. Mater. Chem. A , 2025, https://doi.org/10.1039/D5TA00241A.

Journal of Materials Chemistry AVol. 13(28)
Beijing Institute of Technology (CN), Luleå University of Technology (SE), Peking University (CN)
National Natural Science Foundation of China, State Key Laboratory of Tribology
Openalex Percentile: Top 85%
Lubricants and Their Additives
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.