Performance Data for Liquid Metal Graphene Flexible Sensors

Data from a 2026 study by Chunli Luo describes a flexible sensor with a liquid metal/laser-induced graphene multilayer structure. The dataset likely contains experimental measurements demonstrating sensor performance, including resistance reduction, response times, and stability under various conditions. It is hosted on figshare under a CC-BY-NC-4.0 license.

Use Cases

• Benchmarking sensor sensitivity improvements based on the described 50% resistance reduction.
• Analyzing dynamic response capabilities based on reported loading and unloading times (0.138 s and 0.234 s).
• Evaluating sensor stability for wearable applications based on over 9000 seconds of repetitive bending data.
• Testing waterproof sensor performance based on responses recorded at different underwater depths.
• Developing models for human movement correction, such as breaststroke, based on the sensor's signal detection capabilities.

Strengths

• Specific performance metrics are reported, including a 50% reduction in resistance and response times of 0.138 s (loading) and 0.234 s (unloading).
• Sensor stability is quantified with over 9000 seconds of repetitive bending tests.
• The description details distinct sensor responses at different underwater depths, indicating tested waterproof properties.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is very small (10.7 KB), indicating limited scope.

Provenance

Source

Chunli Luo via figshare

Collection Method

Experimental data from a study on composite sensor fabrication and testing.

Freshness

Last updated 2026-05-06 10:43:55; freshness should be verified.