A combined pressure-controlled scanning calorimetry and Monte Carlo determination of the Joule-Thomson inversion curve. Application of methane

Article Abstract:

A combination of a pressure-controlled scanning calorimetry (PCSC) and Monte Carlo simulations (MCS) is used in the determination of the Joule-Thomson inversion curve (JTIC) with high accuracy over wide ranges of pressures and temperature. A combination of direct experimental technique with molecular simulations has permitted to better understand the complex behavior of the Joule-Thomson inversion phenomenon over wide range of pressure and temperature.

author: Bessieres, D., Randzio, S.L., Pineiro, M.M., Lafitte, Th., Daridon, J.-L.
Analysis, Methane, Joule-Thomson effect

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Two-component polypeptides modeled with effective pair potentials

Article Abstract:

Monte Carlo simulations were performed within a model based on a set of distance-dependent effective potentials, which are used to describe the interactions between a pair of distinct amino acids. The model has a reduced number of variables and its main is the use of effective pair potentials (EPPs) extracted from experimental correlation functions that were obtained from the crystallographic data of the Protein Data Bank (PDB).

author: Pliego-Pastrana, P., Carbajal-Tinoco, M.D.
Crystallography, Polypeptides

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Self-organization process of ordered structures in linear and star poly(styrene)-poly(isoprene) block copolymers: Gaussian models and mesoscopic parameters of polymeric systems

Article Abstract:

Mesoscopic simulations of linear and 3-arm star poly(styrene)-poly(isoprene) block copolymers are performed using a representation of the polymeric molecular structures by means of Gaussian models. The results have validated the Gaussian chain models and mesoscopic parameters used for the polymers

author: Sato-Figueroa, Cesar, Vicente, Luis, Martinez-Magadan, Jose-Manuel, Rodriguez-Hidalgo, Maria-del-Rosario
Models, Styrene, Chemical properties, Copolymers

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subjects list: Research, Usage, Monte Carlo method, Monte Carlo methods
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