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.

Process variations and device mismatches profoundly affect the latest ultra-small geometrical processes. Complexity creates additional factors that impact device manufacturing variability, which in ...

Electron energy loss spectroscopy (EELS) is a robust technique that characterises the electronic structure and composition of materials by measuring the energy electrons lose when traversing or being ...

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 ...

I am looking to estimate the potential for failure in a complex system using Monte Carlo simulation. I am quite familiar with using MC for engineering simulations, but have never approached the ...

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 ...