Mean First Passage Time of Chiral Active Brownian Particles: Simulation Results

Simulation data for the escape dynamics of chiral active Brownian particles from confined domains. The data was generated by numerically solving governing partial differential equations to compute mean first passage times as functions of particle orientation, speed, angular velocity, and domain geometry. The dataset was authored by Zhiwei Peng and last updated on June 6, 2026.

Use Cases

• Modeling optimal search strategies in biological microswimmers based on the relationship between chirality and escape time.
• Analyzing non-monotonic transport behavior in confined geometries based on the particle's self-propulsion speed and angular velocity.
• Benchmarking numerical solvers for partial differential equations governing active particle dynamics.
• Studying the control of reaction processes in synthetic active materials based on the identified optimal chirality parameter.

Strengths

• Dataset is directly linked to a formal research article, providing academic context.
• Description details specific parameters studied, including particle orientation, speed, angular velocity, and domain geometry.
• Last update was recorded on 2026-06-06 04:10:28.

Limitations

• Row count and data volume are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The repository description focuses on containing code, suggesting the primary data may be generated rather than provided as static files.

Provenance

Source

Borealis Harvested Dataverse

Collection Method

Numerical simulation of partial differential equations, as described in the associated research article.

Freshness

Last updated 2026-06-06 04:10:28; freshness should be verified.