
Explore finite dimensional integrability in mathematical physics, focusing on families of (hyper)semitoric systems. Gain insights from Y. Le Floch's research at IRMA.

Explore finite dimensional integrability in mathematical physics, focusing on Poisson-Lie analogues of spin Sutherland models.

Explore the impact of air resistance on falling objects through a comparative analysis of dropped and horizontally launched balls using various drag models.

Explore linear motion with quadratic drag in classical mechanics, deriving velocity and position functions over time using Python simulations.

Explore 2D projectile motion with linear drag, analyzing range and velocity for specific scenarios like a tiny ice ball launch. Includes Python code demonstration.

Explore falling objects with linear drag, analyzing velocity and position over time. Includes Python modeling for practical application.

Explore cylindrical coordinates in classical mechanics, analyzing particle motion on a vertical cylinder surface using Newton's second law.

Explore pendulum motion using polar coordinates and Newton's second law, with Python implementation for practical modeling.

Explore simple harmonic motion through mass-spring systems, including realistic scenarios and numerical calculations using Python.

Explore the physics behind front-wheel vs. rear-wheel drive car acceleration through calculations and Python code analysis.

Explore structure-preserving learning for high-dimensional Lagrangian and Hamiltonian systems, focusing on reduced-order models in mechanics, robotics, and wave propagation for enhanced stability and predictive accuracy.

Explore one-dimensional motion concepts, including speed, velocity, kinematic equations, and calculus applications in physics.

Explore Lagrangian mechanics through a frictionless bead on a tilting wire, with Python modeling and visualization.

Derive the moment of inertia for a ring rotating about an axis in its plane, with Python code implementation included.

Solve the equation of motion for a half Atwood machine using Lagrangian mechanics, exploring advanced physics concepts.

Discover the fastest path for a frictionless bead using random numbers to solve the Brachistochrone problem in physics.

Solve a complex physics problem involving a heavy crate falling onto a spring, calculating impact speed and spring constant.

Solve a central force problem in classical mechanics using Python, focusing on effective potential, energy analysis, and trajectory plotting.

Explore the dynamics of a block sliding on an inverted parabola, analyzing forces and determining when it loses contact with the surface.

Explore Lagrange Multipliers to determine pendulum constraint force, utilizing Python for numerical solutions and work-energy verification.

Explore Lagrangian mechanics through projectile motion and driven spring oscillation examples, including numerical calculations and Python implementation.