Kennesaw State University researcher Andreas Papaefstathiou has received a three-year, $799,651 grant from the U.S. Department of Energy (DOE) to investigate the nature of nuclear matter through ...

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.

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 ...

George Deligiannidis, Daniel Paulin, Alexandre Bouchard-Côté, Arnaud Doucet, RANDOMIZED HAMILTONIAN MONTE CARLO AS SCALING LIMIT OF THE BOUNCY PARTICLE SAMPLER AND DIMENSION-FREE CONVERGENCE RATES, ...

Monte Carlo particle transport is a major focus in the field of HPC as it provides high fidelity simulation of radiation transport and is vital to fission and fusion reactor designs.

Electron–phonon interactions in a material have been modelled by combining billions of Feynman diagrams. Using a modified form of the Monte Carlo method, Marco Bernardi and colleagues at the ...