💫 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

Investigation of the N-Body problem via numerical methods

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"

Tiny n-body simulation project, just for fun

ODE integration methods

Guiding-center dynamics in plasma physics

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.

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

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

Hamiltonian Lorenz models

The training and evaluation code, synthetic datasets and pre-trained models accompanying the paper "Symplectic Learning for Hamiltonian Neural Networks" by M. David and F. Méhats.

simple orbital simulator using symplectic integration

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