The Monte Carlo simulation estimates the probability of different outcomes in a process that cannot easily be predicted because of the potential for random variables.

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 ...

Adsorption phenomena on ice surfaces are of significant importance for understanding environmental chemistry, atmospheric processes, and climate dynamics. By utilising Grand Canonical Monte Carlo ...