Evaluating model calibration methods for sensitivity analysis, uncertainty analysis, optimisation, and Bayesian inference

Fast high-dimensional interpolation of vector valued functions in JAX

Gaussian Process surrogate modelling, Polynomial Chaos Expansion, Sobol sensitivity analysis, active learning, and FORM reliability analysis for a nonlinear Duffing oscillator — a complete uncertainty quantification pipeline in Python.

Agent-based model of non-exhaust particle emissions at an urban intersection in pure Julia. Simulates brake, tyre, and road wear with resuspension at sub-second resolution.