Delta-function expansion of Mayer function with application to virial coefficients

Mayer-sampling Monte Carlo calculations of methanol virial coefficients

We present virial coefficients of up to fourth order computed by Mayer-sampling Monte Carlo for three pair potentials of methanol: one parameterized to reproduce vapourliquid coexistence and two others parameterized to reproduce a quantum pair potential. We compare the resulting second and third virial coefficients to experimental values available in the literature. We further examine the viria...

‏‎interpersonal function of language in subtitling

‏‎translation as a comunicative process is always said to be associated with various aspects of meaning loss or gain. subtitling as a mode of translating, due to special discoursal and textual conditions imposed upon it, is believed to be an obvious case of this loss or gain. presenting the spoken sound track of a film in writing and synchronizing the perception of this text by the viewers with...

Path-integral Mayer-sampling calculations of the quantum Boltzmann contribution to virial coefficients of helium-4.

We present Mayer-sampling Monte Carlo calculations of the quantum Boltzmann contribution to the virial coefficients B(n), as defined by path integrals, for n = 2 to 4 and for temperatures from 2.6 K to 1000 K, using state-of-the-art ab initio potentials for interactions within pairs and triplets of helium-4 atoms. Effects of exchange are not included. The vapor-liquid critical temperature of th...

Mayer-sampling Monte Carlo calculations of uniquely flexible contributions to virial coefficients.

We present methods for computing contributions to the virial coefficients uniquely associated with molecular flexibility, and we demonstrate their use with application to the third, fourth, and fifth virial coefficients of united-atom models of linear alkanes and methanol belonging to the suite of transferrable potentials for phase equilibria (TraPPE-UA). We find that these uniquely flexible co...

Decision criteria in risk analysis : an application of stochastic dominance with respect to a function