2022
DOI: 10.1002/cjce.24516
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Recent advances in density functional theory and molecular dynamics simulation of mechanical, interfacial, and thermal properties of natural gas hydrates in Canada

Abstract: Gas hydrates are inclusion compounds of a water backbone that encloses gaseous molecules. Thanks to their applications in gas recovery, carbon capture and storage, gas storage, and flow assurance, generating high quality data and predictions of their properties is paramount. A review of novel techniques using first principles density functional theory and molecular dynamics simulations methods coupled to auxiliary simulations methods is presented herein.Structure I (sI), structure II (sII), and structure H (sH… Show more

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Cited by 2 publications
(1 citation statement)
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“…In this work, a macroscopic thermo-kinetic model is introduced for this purpose of having deeper insights into the intricacies of phase transformations occurring during these reactions. However, to interpret the behavior of gas hydrates during their dissociation and formation at a microscopic level, density functional theory-based atomistic models deriving equations of state (EoS) for hydrates and molecular dynamics (MD) simulation studies predicting their properties are utilized . Besides, analyzing gas hydrates on a molecular scale is crucial to comprehend the process parameters involved.…”
Section: Modeling Guest Gas Swappingmentioning
confidence: 99%
“…In this work, a macroscopic thermo-kinetic model is introduced for this purpose of having deeper insights into the intricacies of phase transformations occurring during these reactions. However, to interpret the behavior of gas hydrates during their dissociation and formation at a microscopic level, density functional theory-based atomistic models deriving equations of state (EoS) for hydrates and molecular dynamics (MD) simulation studies predicting their properties are utilized . Besides, analyzing gas hydrates on a molecular scale is crucial to comprehend the process parameters involved.…”
Section: Modeling Guest Gas Swappingmentioning
confidence: 99%