Classical Mechanics and Molecular Dynamics

Related lectures (27)

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Explores zero-stability and absolute-stability in numerical methods, including Forward Euler, Backward Euler, Crank-Nicolson, and Heun's methods.

Covers path integral methods, focusing on convergence and computational techniques for quantum systems.

Introduces the basics of finite element modeling for dynamics and discusses the Newmark method for time integration.

Explores the history and tools of scientific computing in neuroscience, emphasizing the simulation of neurons and networks.

Explores ordinary differential equations and numerical integration methods for stability and accuracy.

Explores molecular dynamics, integrators, trajectory generation, and error monitoring in atomistic modeling.

Introduces the Euler Forward Method for ODEs, focusing on error analysis and stability.

Explores transient stability in power systems dynamics, covering algebraic equations, generator models, and numerical integration techniques.

Explores the Verlet scheme, magnetic fields, speed-dependent forces, and nonlinear physics through simulations and exercises.

Explores numerical methods like Crank-Nicolson, Heun, Euler, and RK4 for solving ODEs, emphasizing error estimation and convergence.