Data from ''A Proof‐of‐Principle Demonstration: Exploring the Effect of Anode Layer Microstructure on the Alkaline Oxygen Evolution Reaction''

Data used for the publication named 'A Proof‐of‐Principle Demonstration: Exploring the Effect of Anode Layer Microstructure on the Alkaline Oxygen Evolution Reaction' in Advanced Functional Materials.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-25
DOI
https://doi.org/10.5281/zenodo.14554548
Citations
1
Primary Topic
Computability, Logic, AI Algorithms
Type
article
Field-Weighted Citation Impact
0.36
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Data from ''A Proof‐of‐Principle Demonstration: Exploring the Effect of Anode Layer Microstructure on the Alkaline Oxygen Evolution Reaction''

1 citations
Zenodo (CERN European Organization for Nuclear Research)
Computability, Logic, AI Algorithms
0.36
article

Data from ''A Proof‐of‐Principle Demonstration: Exploring the Effect of Anode Layer Microstructure on the Alkaline Oxygen Evolution Reaction''

article en
1 citations

Abstract

Data used for the publication named 'A Proof‐of‐Principle Demonstration: Exploring the Effect of Anode Layer Microstructure on the Alkaline Oxygen Evolution Reaction' in Advanced Functional Materials.

Zenodo (CERN European Organization for Nuclear Research)
Institute of Particle Physics (CA), Max Planck Institute for Chemical Energy Conversion (DE), University of Duisburg-Essen (DE), RWTH Aachen University (DE)
Openalex Percentile: Top 31%
Computability, Logic, AI Algorithms
0.36
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.