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 ...

Network reliability and algorithmic approaches constitute a cornerstone of modern systems engineering. As networks underpin critical infrastructure and digital communications, understanding and ...

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 ...

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 ...

Tripoli-4® is a tool used by researchers to simulate the behaviors of interacting neutrons in 3D space. Recently, researchers have developed eTLE: a next-event simulator which aims to increase Tripoli ...