Path Integral Monte Carlo

Path Integral Monte Carlo (PIMC) is a computational technique used in physics and chemistry to study quantum systems. It combines principles of quantum mechanics with statistical methods to simulate the behavior of particles, like atoms or molecules, over time. By treating the possible paths particles can take as probabilities, PIMC calculates the "path integral" – a kind of average over all possible trajectories. This allows researchers to predict properties of systems at very low temperatures or to analyze complex interactions, helping to understand phenomena in materials science, quantum fluids, and more.