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 EXSCALATE4COV project, focusing on computational drug discovery for COVID-19 treatments and the collaboration between academia and industry.
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 basis set solutions for the time-dependent Schrödinger equation with a time-dependent Hamiltonian, including special cases like Gaussian wave packets.
Explores the evolution of biomolecular simulations, emphasizing accurate models, increased sampling, and the transformative role of simulations in predicting experimental outcomes.
Explores Generalized Langevin Equations and their computational implications in molecular dynamics simulations, emphasizing the impact of noise details on particle trajectories.