Formation and Cycling Data for Na-ion Batteries from High-Throughput Synthesis

Formation and cycling data from a combinatorial high-throughput process for sodium-ion battery production. The dataset was created by Leah Nuss at Karlsruhe Institute of Technology to test the rapid introduction of a new chemistry into a workflow involving batch synthesis, screen printing, robotic assembly, and battery cycling. The cathode material Na0.9[Cu0.22Fe0.30Mn0.48]O2 was synthesized via solid-state reaction at 850°C for 15 hours.

Use Cases

• Benchmarking battery performance based on formation and cycling data from the described high-throughput process.
• Analyzing the reproducibility of battery characteristics based on the screen-printed electrode and robotic assembly method.
• Modeling the relationship between synthesis parameters and electrochemical performance for the specific cathode chemistry.
• Training models to predict battery outcomes based on features from the combinatorial synthesis and coating process.

Strengths

• Data originates from a defined high-throughput process involving batch synthesis, screen printing, and robotic assembly.
• Specific cathode chemistry (Na0.9[Cu0.22Fe0.30Mn0.48]O2) and synthesis parameters (850°C for 15h) are documented.
• Electrode preparation method (screen printing with sodium carboxymethyl cellulose binder) is described for reproducibility.

Limitations

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

Provenance

Source

Karlsruhe Institute of Technology

Collection Method

High-throughput batch synthesis, screen printing of electrodes, robotic cell assembly, and battery cycling.