Explores Molecular Dynamics simulations for studying cement materials and diffusion processes, covering algorithms, force fields, data analysis, and recommended resources.
Explores Car-Parrinello molecular dynamics, a unified approach combining molecular dynamics and density-functional theory for simulating various systems, with a focus on historical background, technical details, and challenges in atomistic simulations.
Explores the evolution of biomolecular simulations, emphasizing accurate models, increased sampling, and the transformative role of simulations in predicting experimental outcomes.
Explores sampling the canonical ensemble, temperature fluctuations, extended Lagrangian, and Maxwell-Boltzmann distribution in molecular dynamics simulations.
Explores the trends and challenges in modeling complex molecular systems using hierarchical multi-scale approaches, covering length-time scales, atomistic simulations, and force matching techniques.
Explores the Non-equilibrium GLE sampling method for atomistic modeling and discusses S-like thermostats, quantum thermostat, anharmonic systems, and zero-point energy leakage.