Explores computer simulations in cell biology, focusing on Molecular Dynamics and Monte Carlo, to gain insights into complex biological systems and their limitations.
Explores quantum correlation functions and their role in molecular dynamics simulations, including the reconstruction of standard correlation functions from Kubo-transformed ones.
Covers the molecular dynamics simulation of liquid argon using Lennard-Jones potential and focuses on equilibration and velocity distribution at equilibrium.
Introduces path integral molecular dynamics and its applications in quantum mechanics, focusing on nuclear quantum effects and their implications for molecular simulations.
Explores the evolution of biomolecular simulations, emphasizing accurate models, increased sampling, and the transformative role of simulations in predicting experimental outcomes.