A Gaussian process has been one of the important approaches for emulating computer simulations. However, stationarity assumption a and intractability large-scale dataset limit its availability in practice. In this article, we propose clustered model which segments input data into multiple clusters, each is performed. The stochastic expectation-maximization employed to efficiently fit model. our...

The three-dimensional Gaussian core model (GCM) for soft-matter systems has repulsive interparticle interaction potential ? ( r ) = ? exp [ ? / ? 2 ] , with the distance between a pair of atoms, and positive constants setting energy length scales, respectively. is mostly soft in character, without typical hard present fluid models. We work out thermodynamic Ricci curvature scalar R GCM, particu...

Motivated by the experimental search for QCD critical point we perform simulations of a stochastic field theory with purely relaxational dynamics (model A). We verify expected dynamic scaling correlation functions. Using finite size analysis obtain exponent $z=2.026(56)$. investigate time dependent functions higher moments $M^n(t)$ order parameter $M(t)$ $n=1,2,3,4$. same $z$ all $n$, but relax...