Monte Carlo simulations have emerged as an indispensable tool in gamma‐ray spectrometry and detector calibration, offering nuanced insights into particle interactions and detector responses. By ...

Particle physicists are building innovative machine-learning algorithms to enhance Monte Carlo simulations with the power of AI. Originally developed nearly a century ago by physicists studying ...

Researchers have developed a highly efficient method to investigate systems with long-range interactions that were previously puzzling to experts. These systems can be gases or even solid materials ...

You can’t predict the future, of course, but that doesn’t stop some financial professionals from trying. Of the many methods devised to anticipate different possible futures in financial planning, ...

Monte Carlo methods have become indispensable in simulating light transport due to their flexibility in handling complex phenomena such as scattering, absorption, and emission in heterogeneous media.

Objectives This study assessed whether a previously developed Monte Carlo simulation model can be reused for evaluating various strategies to minimise time-to-treatment in southwest Netherlands for ...