A numerical laboratory for mapping dissipative chaos, strange attractors, and bifurcations in the Lorenz system.
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Updated
May 17, 2026 - Python
A numerical laboratory for mapping dissipative chaos, strange attractors, and bifurcations in the Lorenz system.
This project is a computational study of classical ballistics. While textbook physics often assumes objects move in a vacuum, real-world motion is significantly altered by air resistance. Because the equations for air drag are "non-linear," they cannot be solved with simple algebra—they require numerical integration.
A computational study on the gravitational interaction of three point-masses in a 2D plane.
A high-fidelity numerical laboratory for modeling Double Pendulum dynamics using Lagrangian mechanics. Features vectorized Euler-Lagrange solvers, symplectic integration, and bifurcation analysis to quantify the transition from periodic motion to bounded chaos.
A comparative computational study of driven LCR circuits: Transitioning legacy Fortran 90 implementations to high-performance vectorized Python/NumPy environments using RK4 integration.
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