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Doros N Theodorou

Publications and source records attributed to Doros N Theodorou.

7 recordsLinked to original sources

Sorption thermodynamics of CO2, CH4, and their mixtures in the ITQ-1 zeolite as revealed by molecular simulations.

The thermodynamic properties and siting of carbon dioxide and methane sorbed in the siliceous form of zeolite MCM-22, ITQ-1, were studied by means of grand canonical Monte Carlo simulation. ITQ-1 comprises two independent pore systems of different geometry. It was found to be CO(2)-selective toward CO(2)/CH(4) gas mixtures, its equilibrium selectivity being distinctly higher in its sinusoidal channel pore system than in the large cavity system over a wide range of pressures starting from the Henry law regime, at the three temperatures considered. A maximum in selectivity is observed at low temperature, high pressure, and methane-rich gas-phase composition.

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Accelerating molecular simulations by reversible mapping between local minima.

A new framework is presented for performing Monte Carlo simulations of condensed matter based on a recently developed bijective mapping between local energy minima. The framework is used to implement a range of new multiparticle Monte Carlo moves, which are investigated by simulating atomic Lennard-Jones fluids in the canonical and grand canonical ensembles. Important aspects of the simulation protocol and their effect on performance are analyzed in detail. Using the mapping accelerates the simulations by many orders of magnitude when compared to the equivalent moves without the mapping, and leads to particularly efficient configurational sampling at low temperatures and high densities. The method appears to be suitable for adapting to quantitative simulations of more complex molecular systems over long effective time scales.

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Diffusion of long n-alkanes in silicalite. A comparison between neutron scattering experiments and hierarchical simulation results.

New quasi-elastic neutron scattering (QENS) data are presented for the self-diffusion of normal alkanes up to hexadecane in the zeolite silicalite at low occupancy. Measured diffusivities at 300 K are higher than in Na-ZSM-5 and agree with the predictions of molecular dynamics and a hierarchical transition-state theory/Brownian dynamics conducted on the same systems. Activation energies for diffusion are around 5 kJ/mol for C1-C6 but rise with carbon number for C8-C16 to approximately 15 kJ/mol for C16. An explanation is suggested by the hierarchical simulation, which finds that C1-C6 tend to reside entirely within the interiors of single channel segments and diffuse through jumps across energetically less favorable channel intersections, while longer molecules straddle channel intersections and must undergo conformational rearrangements in order to diffuse. The agreement between QENS and simulations reflects that the two methods probe motion over the same small (nm) length scales. Self-diffusivities measured by pulsed field gradient nuclear magnetic resonance (PFG-NMR) in the same systems are appreciably lower. This is because PFG-NMR probes motion over significantly longer (microm) length scales and is therefore more sensitive to defects in the silicalite crystals.

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A reversible minimum-to-minimum mapping method for the calculation of free-energy differences.

A general method is introduced for the calculation of the free-energy difference between two systems, 0 and 1, with configuration spaces omega(0), omega(1) of the same dimensionality. The method relies upon establishing a objective mapping between disjoint subsets gamma(i)(0) of omega(0) and corresponding disjoint subsets gamma(i)(1) of omega(1), and averaging a function of the ratio of configurational integrals over gamma(i)(0) and gamma(i)(1) with respect to the probability densities of the two systems. The mapped subsets gamma(i)(0) and gamma(i)(1) need not span the entire configuration spaces omega(0) and omega(1). The method is applied for the calculation of the excess chemical potential mu(ex) in a Lennard-Jones (LJ) fluid. In this case, omega(0) is the configuration space of a (N-1) real molecule plus one ideal-gas molecule system, while omega(1) is the configuration space of a N real molecule system occupying the same volume. Gamma(i)(0) and gamma(i)(1) are constructed from hyperspheres of the same radius centered at minimum-energy configurations of a set of "active" molecules lying within distance a from the ideal-gas molecule and the last real molecule, respectively. An algorithm is described for sampling gamma(i)(0) and gamma(i)(1) given a point in omega(0) or in omega(1). The algorithm encompasses three steps: "quenching" (minimization with respect to the active-molecule degrees of freedom), "mutation" (gradual conversion of the ideal-gas molecule into a real molecule, with simultaneous minimization of the energy with respect to the active-molecule degrees of freedom), and "excitation" (generation of points on a hypersphere centered at the active-molecule energy minimum). These steps are also carried out in reverse, as required by the bijective nature of the mapping. The mutation step, which establishes a reversible mapping between energy minima with respect to the active degrees of freedom of systems 0 and 1, ensures that excluded volume interactions emerging in the process of converting the ideal-gas molecule into a real molecule are relieved through appropriate rearrangement of the surrounding active molecules. Thus, the insertion problem plaguing traditional methods for the calculation of chemical potential at high densities is alleviated. Results are presented at two state points of the LJ system for a variety of radii a of the active domain. It is shown that the estimated values of mu(ex) are correct in all cases and subject to an order of magnitude lower statistical uncertainty than values based on the same number of Widom [J. Chem. Phys. 39, 2808 (1963)] insertions at high fluid densities. Optimal settings for the new algorithm are identified and distributions of the quantities involved in it [number of active molecules, energy at the sampled minima of systems 0 and 1, and free-energy differences between subsets gamma(i)(0) and gamma(i)(1) that are mapped onto each other] are explored.

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Microscopic origins for the favorable solvation of carbonate ether copolymers in CO2.

The strong desire for the wide use of carbon dioxide as an environmentally benign process solvent has spurred a large number of attempts to improve its solubility characteristics. Pioneering experimental work by Beckman and co-workers has pointed to carbonate ether copolymers as promising candidates for nonfluorous surfactants. It is demonstrated here that Gibbs ensemble Monte Carlo simulations (using configurational-bias and double-bridging strategies and the transferable potentials for phase equilibria force field) can be employed to accurately predict the phase equilibria of a carbonate ether copolymer with CO2. The simulations indicate that the greater accessibility of the carbonyl oxygen plays a major role for the CO2-philicity of this copolymer surfactant.

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Coarse graining using pretabulated potentials: liquid benzene.

The large length and time scales involved in polymer simulation render the atomistic representation of polymer systems a computationally expensive and unnecessarily detailed procedure. We present a novel coarse-graining method for the description of nonbonded interactions between moieties composing the monomeric units of polymers, phenyl rings in particular. The method is based on the determination of the interactions between pairs of moieties from precalculated and tabulated values of the energy between the moieties in their atomistic representation. Validation of the method is performed by carrying out coarse-grained and fully atomistic simulations of a benzene liquid, where structural and thermodynamic properties at various state points are compared. The effects of the coarse grained model assumptions and of the energy table dimension and discretization are investigated. Results are also presented for the reverse mapping from the coarse grained to the fully atomistic representation.

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A novel Monte Carlo scheme for the rapid equilibration of atomistic model polymer systems of precisely defined molecular architecture.

Two novel connectivity-altering atomistic Monte Carlo moves are presented for the fast equilibration of condensed phases of long-chain systems with a variety of chain architectures. With the new moves, isotropic or oriented melts of linear or long-chain branched polymers, dense brushes of terminally grafted macromolecules, and cyclic peptides can be simulated. Results concerning the structural, conformational, and volumetric properties of linear, monodisperse polyethylene melts, simulated with a new united-atom molecular model, are in excellent agreement with experimental data.

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