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.

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 ...

With highly specialized instruments, we can see materials on the nanoscale – but we can’t see what many of them do. That limits researchers’ ability to develop new therapeutics and new technologies ...

Not all Spice versions perform Monte Carlo simulations. Even those that do may only have a small number of available distributions, much less custom ones. LTSpice, for example, has built-in random ...

We have all made decisions, whether in our personal or professional lives, based on imperfect information. How can we manage that risk and improve business outcomes? One answer is a statistical method ...

A new method is using Monte Carlo simulations to extend the capabilities of transmission electron microscopy and answer fundamental questions in polymer science. With highly specialized instruments, ...