A computational physicist working from particle collisions to material response

Dr. Khan builds Monte Carlo simulations to investigate what happens when energetic electrons and ions strike matter. The work began with computational physics at the University of the Punjab and continued through graduate study in condensed-matter physics at the University of Science and Technology of China.

One scientific thread connects that trajectory: particle–solid interactions modelled from fundamental scattering events upward. The programme now spans electron transport for semiconductor metrology, three-dimensional simulation geometry, uncertainty quantification, collision cascades, and radiation-tolerant materials.

Much of the output is computational infrastructure: elastic- and inelastic-scattering libraries, Monte Carlo workflows, cascade-annealing routines, geometry and meshing pipelines, and cross-code coupling between IM3D, chemical rate theory, and MMonCa. Machine-learning methods support that physics-led programme through manifold learning, denoising, and surrogate modelling.