Computational Physics Modelling

10 weeks · 0 milestones

Build a real computational physics model or simulation using numerical methods — finite difference, Monte Carlo, molecular dynamics, or numerical integration of differential equations — implemented in code (Python with NumPy/SciPy, Julia, or equivalent). The proof is the submitted code (must be runnable as-is with documented dependencies), parameters with rationale, numerical outputs, visualisation of results, and a written validation section comparing the model output to an analytical solution or published reference value where one exists. Computational physics modelling is fully accessible — all tools are free and open source. Reviewed by a physicist who runs the submitted code independently to confirm it produces the documented outputs; the reviewer also asks you to modify a specific parameter and predict the outcome, then verify it during the review session.

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