💫 An open-source multi-purpose N-body code.

Symplectic Recurrent Neural Networks

biorbd + casadi + variational integrator

A symplectic integrator for orbital mechanics

different methods for solving several ode

Symplectic pseudo-spectral solver for (1+1)D nonlinear Klein-Gordon equation with topological solitons, breathers, and Numba acceleration.

Investigation of the N-Body problem via numerical methods

Tiny n-body simulation project, just for fun

Built on peer-reviewed research accepted at IEEE DSA 2025: "Hamiltonian Neural Networks for Robust Out-of-Time Credit Scoring: Empirical Validation and Temporal Stability Analysis"

High-performance C++ simulations of the Bosonic BFSS Matrix Model, investigating chaos, holography, and random matrix thermalization.

ODE integration methods

Guiding-center dynamics in plasma physics

Final project for Physics 561: Adv. Computational Physics comparing direct measurement in simulation to theoretical predictions of gravitational wave frequencies in weak-field binaries

Kirkwood gap formation at realistic Jupiter mass, CR3BP with symplectic integration (Yoshida 4 and Wisdom-Holman) on a single GPU via CuPy

"Found underfitting issue in original neural symplectic form git codes and fixed it"

Mapping Stability Phase Transitions in the Three-Body Problem Using Large-Scale Perturbation Ensembles

A fast yet precise simulation of conservative, attractive forces acting on point-like particles embedded onto the surface of a unit sphere.

Python scripts for statistical analysis and visualization of nonlinear Klein-Gordon equation solutions generated by the amangkurat solver, including entropy metrics, spatiotemporal evolution plots, and phase space analysis.

Hamiltonian Lorenz models

Symplectic leapfrog, RK4, and predictor-corrector ODE integrators in Python/JAX and C++ with adaptive step-size control