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2D Anisotropic Stiff Dynamics: Chaotic Pattern Formation in Two Dimensions

  • Task ID: physics.ks_2d_anisotropic
  • Domain: physics
  • Subdomain: nonlinear_dynamics
  • Status: final
  • Benchmark set: seed42 (60 tasks)
  • Tags: stiff_pde, spectral_methods, chaotic_dynamics, 2d_fft, anisotropic_pde, etdrk4, pattern_formation

Runtime and requirements

  • Estimated time: 45 minutes
  • Python: >=3.11
  • Packages: scipy>=1.11, numpy>=2.0, matplotlib>=3.7
  • GPU required: no
  • Network required: no

Public input and output contract

Inputs

  • system_info.json (data): System parameters and time metadata (coefficient names neutralized)
  • field_evolution.npy (data): Observed spatio-temporal field: n_obs_snapshots time snapshots of a 2D spatial field
  • initial_condition.npy (data): Initial condition for prediction task

Outputs

  • simulation.py (code): Agent-written analysis and simulation code
  • predicted_field.npy (data): Predicted 2D field state at target time
  • spectral_density.npy (data): Radially-averaged 2D power spectral density
  • data_exploration.json (data): Data exploration findings from observed field
  • physical_quantities.json (data): Physical diagnostics extracted from the predicted field
  • field_visualization.png (figure): Multi-panel visualization showing 2D field at different times
  • spectral_visualization.png (figure): Power spectrum: 2D spectrum heatmap and radial average

Public repository files

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Provenance

This task is included in the current seed42 benchmark set at dataset revision f11a199f71fb4b854ac43a1bf548d5df519141a9.

This page is generated only from files tracked in the public ASI-Bench repository at commit f18382f03faf. Submission bundles, run logs, private scoring configuration, and private reference answers are not read by this page generator.