Quasi-Stationary Distribution: Molecular Dynamics Modeling

Related lectures (31)

Page 3 of 4

Explores Monte Carlo moves in simulation, including trial moves and biased moves, comparing Monte Carlo with Molecular Dynamics.

Explores Markov chains and their applications in algorithms, focusing on user impatience and faithful sample generation.

Explores unconfined flow in computational geomechanics, emphasizing weak form derivation and relative permeability.

Explores max entropy, Shannon's entropy, Lagrange multipliers, and Monte Carlo sampling techniques.

Covers Monte Carlo Markov Chains and sampling algorithms for iterative trial configurations.

Covers the theory and applications of graph coloring, focusing on disassortative stochastic block models and planted coloring.

Explores sparse learning of chemical reaction networks from trajectory data using data-based methods and learning approaches.

Explores molecular simulations, enhanced sampling techniques, reaction coordinates, and rare event sampling methods in complex systems.

Explores Monte Carlo simulation of a Lennard-Jones liquid and the importance of sampling through correlated sampling.

Explores sampling algorithms for constrained systems, emphasizing the work of Benedict Leimkuhler from the University of Edinburgh.