MIRaCLE: Hybrid Simulation Data for Radiation Chemistry

Frederick Currell's MIRaCLE toolkit data and code, published on figshare in April 2026. The dataset includes results and code for simulating the spatio-temporal evolution of radiolytic species like hydrated electrons and hydroxyl radicals. It supports a hybrid continuum/Monte Carlo method designed for fast calculation of time-dependent G-values across long timescales and extreme dose rates.

Use Cases

• Benchmarking hybrid simulation methods based on the described MIRaCLE toolkit approach.
• Analyzing time-dependent G-values for radiolytic species based on the simulation results.
• Validating fast deterministic calculations against stochastic Monte Carlo distributions as described in the methodology.

Strengths

• Includes simulation code (IPYNB) and results, enabling reproducibility.
• Dataset is licensed under CC-BY-4.0, allowing for open reuse and modification.
• The described method achieves 1% convergence in a single pass, significantly reducing computational time.

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 small (4.0 MB), which may indicate limited scope or sample data.

Provenance

Source

figshare, author Frederick Currell.

Collection Method

Simulation results and code produced for the associated research paper.

Time Range

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Freshness

Last updated 2026-04-15 10:00:22; freshness should be verified.

Geography

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