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 ...

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 ...

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 ...

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 simulations predict investment risks and returns using computer models. They enable investors to assess outcomes under various market conditions. Accessible tools like online calculators ...