Dataset of 5035 Conductivity Experiments for Lithium-Ion Battery Electrolyte Formulations

5,035 experimental measurements of conductivity for lithium-ion battery electrolyte formulations, collected at various temperatures. The dataset accompanies a data descriptor publication by Fuzhan Rahmanian of the Karlsruhe Institute of Technology. It is available via the paperswithcode platform under an Open Access license.

Use Cases

• Predicting electrolyte conductivity based on formulation and temperature data mentioned in the description
• Screening candidate electrolyte formulations for battery performance based on experimental conductivity results
• Training machine learning models for materials property prediction using a dataset of physical experiments
• Analyzing the relationship between temperature and ionic conductivity in battery electrolytes

Strengths

• Contains 5,035 individual experimental measurements, providing a substantial basis for analysis.
• Explicitly includes data across various temperatures, a key variable for battery performance.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.
• Row count and file format details are unspecified, which may limit suitability assessment.

Provenance

Source

Fuzhan Rahmanian, Karlsruhe Institute of Technology

Collection Method

Likely contains laboratory measurements of electrolyte conductivity.