A Predictive Design Framework for Ultrarobust Superhydrophobic Coatings

Bucheng Li introduces a dataset supporting a predictive design framework for superhydrophobic coatings based on lyophobic interconnected close-packed nanostructures. The data, last updated in June 2026, likely contains quantitative analyses of relationships among contact angle, capillary pressure, bending stress, and a robustness index. This framework was used to fabricate coatings tested under extreme conditions.

Use Cases

• Predicting coating robustness based on structural parameters like feature size and spacing.
• Optimizing superhydrophobic surface designs for high-pressure resistance.
• Benchmarking new coating performance against reported metrics like abrasion cycles and chemical resistance.

Strengths

• The dataset is associated with a published framework that produced coatings tested under hydrostatic pressures up to 6 MPa and water-jet velocities up to 60.1 m/s.
• The resulting coatings demonstrated durability through 11,000 cycles of Taber abrasion and over 3 years of environmental stability.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

Bucheng Li

Collection Method

Derived from quantitative analyses and experimental fabrication.

Freshness

Last updated 2026-06-01 05:10:39