Monte Carlo methods have emerged as an indispensably robust tool for simulating particle transport in stochastic media, where material properties vary according to random processes. These techniques ...

A technical paper titled “Efficient Algorithms for Monte Carlo Particle Transport on AI Accelerator Hardware” was published by researchers at Argonne National Laboratory, University of Chicago, and ...

SIAM Journal on Numerical Analysis, Vol. 30, No. 6 (Dec., 1993), pp. 1558-1573 (16 pages) The convergence of the Monte Carlo method for numerical integration can often be improved by replacing random ...

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 ...