2013
DOI: 10.1080/08927022.2013.850499
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Sensitivity of the aggregation behaviour of asphaltenes to molecular weight and structure using molecular dynamics

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Cited by 98 publications
(94 citation statements)
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“…The aggregation process of asphaltene is apparently irreversible, which is attributed to the dispersion energy between the PAHs of asphaltenes. 31 The orientation of asphaltene aggregates in single-solvent or binary solvents system was also investigated by molecular simulations. Greenfield and Zhang 32 found that the molecular orientation of neighboring molecules was closely related to the molecular structure and the environmental temperature.…”
Section: Introductionmentioning
confidence: 99%
“…The aggregation process of asphaltene is apparently irreversible, which is attributed to the dispersion energy between the PAHs of asphaltenes. 31 The orientation of asphaltene aggregates in single-solvent or binary solvents system was also investigated by molecular simulations. Greenfield and Zhang 32 found that the molecular orientation of neighboring molecules was closely related to the molecular structure and the environmental temperature.…”
Section: Introductionmentioning
confidence: 99%
“…We benefit from the wide versatility of the PCFF+ force field type to model a wide range of already parameterized organic groups including amino acids and polypeptides with a good accuracy. [37][38][39] Furthermore, PCFF+ relies on ab initio parameterization, making additional ab initio-parameterization using this forcefield a coherent choice. The currently available PCFF+ force field was supplemented with the missing non-bonded Lennard-Jones interactions and the missing bonded terms between the inorganic sub-network and the organic benzenedicarboxylate (bdc) linker (i.e.…”
Section: Forcefield Parametrizationmentioning
confidence: 99%
“…For the purpose of MD calculations, a set of PCFF+ force field parameters [37][38][39] were specifically developed to model MIL-68-NH2. We benefit from the wide versatility of the PCFF+ force field type to model a wide range of already parameterized organic groups including amino acids and polypeptides with a good accuracy.…”
Section: Forcefield Parametrizationmentioning
confidence: 99%
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