Abstract Generative adversarial networks (GANs) have shown promising results when applied on partial differential equations and financial time series generation. We investigate if GANs can also be used to approximate one-dimensional It $$\hat{\text {o}}$$ o ^ st...

Abstract Silicon photomultipliers (SiPMs) replace photomultiplier tubes (PMTs) for the detection of light in many applications, particularly high energy physics and medical imaging. We describe a flexible implementation SiPM model GATE Monte Carlo simulation platform, which is based on noise description proposed by Rosado Hidalgo, an easy effective method to determine instantiate with simple me...

We develop a classical Monte Carlo algorithm based on quasi-classical approximation for pseudospin S = 1 Hamiltonian in real space to construct phase diagram of model cuprate with high Tc. A description takes into account both local and nonlocal correlations, Heisenberg spin-exchange interaction, correlated single-particle, two-particle transport. formulate state selection given parameterizatio...