In this paper, we review recent advances in the Continuous Fractional Component Monte
Carlo (CFCMC) methodology and present a historic overview of the most important …

A quantitative study of urban vitality brings new insights for evaluating the external
construction environment and internal development power of cities. However, it still has …

Regression modeling is one of the most widely used statistical processes to estimate the
relationships between dependent and independent variables, which have been frequently …

Data driven material research is a hot topic in the cross field of artificial intelligence and
materials science. The core of new material prediction is to find the relationship between …

One of the important parameters in water management of proton exchange membranes is
the electro-osmotic drag (EOD) coefficient of water. The value of the EOD coefficient is …

Abstract Background Coronavirus outbreak (SARS-CoV-2) has become a serious threat to
human society all around the world. Due to the rapid rate of disease outbreaks and the …

The separation of xylenes is one of the most important processes in the petrochemical
industry. In this article, the competitive adsorption from a fluid-phase mixture of xylenes in …

Force field-based molecular simulations were used to calculate thermal expansivities, heat
capacities, and Joule–Thomson coefficients of binary (standard) hydrogen–water mixtures …

In this research, we present a novel method for calculating the partial molar volume (PMV) of
system components through post-processing the output trajectory of a molecular dynamic …

Gibbs ensemble Monte Carlo simulations were performed to predict the pressure–
composition phase diagrams of binary H2O–NaCl mixtures at 573 K and 633 K, pressures of …