2005
DOI: 10.1021/jp0524680
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Simulating the Relaxation Dynamics of Microwave-Driven Zeolites

Abstract: We have performed equilibrium and nonequilibrium molecular dynamics simulations to study how microwave (MW)-heated zeolite systems relax to thermal equilibrium. We have simulated the relaxation of both ionic and dipolar phases in FAU-type zeolites, finding biexponential relaxation in all cases studied. Fast-decay times were uniformly below 1 ps, while slow-decay times were found to be as long as 14 ps. Fast-decay times increase with an increase in the initial temperature difference between MW-heated ions/dipol… Show more

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Cited by 7 publications
(6 citation statements)
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“…130 In interesting follow-up work on zeolite microwave heating, Combariza et al performed NEMD simulations on relaxation of ionic and dipolar phases in FAU-type zeolites, finding bi-exponential relaxation. 133 Fast-decay times were found to increase with an increase in the initial temperature difference between microwave-heated ions/dipoles and the equilibrium system. Kinetic-energy correlation functions were also found to show strong bi-exponential behaviour, indicative of a two-step heating mechanism with initial, efficient energy transfer mediated by strongly anharmonic zeolite-guest forces, followed by a slower process dominated by weaker coupling amongst normal modes in the zeolite framework.…”
Section: Heatingmentioning
confidence: 96%
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“…130 In interesting follow-up work on zeolite microwave heating, Combariza et al performed NEMD simulations on relaxation of ionic and dipolar phases in FAU-type zeolites, finding bi-exponential relaxation. 133 Fast-decay times were found to increase with an increase in the initial temperature difference between microwave-heated ions/dipoles and the equilibrium system. Kinetic-energy correlation functions were also found to show strong bi-exponential behaviour, indicative of a two-step heating mechanism with initial, efficient energy transfer mediated by strongly anharmonic zeolite-guest forces, followed by a slower process dominated by weaker coupling amongst normal modes in the zeolite framework.…”
Section: Heatingmentioning
confidence: 96%
“…Kinetic-energy correlation functions were also found to show strong bi-exponential behaviour, indicative of a two-step heating mechanism with initial, efficient energy transfer mediated by strongly anharmonic zeolite-guest forces, followed by a slower process dominated by weaker coupling amongst normal modes in the zeolite framework. 133 Jobic et al carried out further NEMD simulation of microwave heating in silicalites, along with quasielastic neutron scattering measurements, finding selective heating of methanol, but little heating of benzene. 134 Effective translational and rotational temperatures were extracted from experimental, and rotational temperatures were found to significantly exceed translational ones at high microwave power, in accord with NEMD, 134 giving microscopic proof for athermal effects in microwave-driven nanopores as suggested in earlier pure-NEMD work.…”
Section: Heatingmentioning
confidence: 99%
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“…The awe-inspiring development of computational performance in the last decades has open the door to a new way of doing science, which is usually referred as computational experimentation or in silico experimentation. [1][2][3] In general, an in silico experiment begins by modeling a real system using solid theoretical physical principles, followed by the simulation of the system through computer programmed mathematical algorithms. [3][4][5] In this work, we use a hybrid ab initio/mechano-statistical technique to study the features of biological macromolecules, proteins, and their interactions with low molecular weight chemical species, called ligands.…”
Section: Introductionmentioning
confidence: 99%
“…The awe-inspiring development of computational performance in the last decades has open the door to a new way of doing science, which is usually referred as computational experimentation or in silico experimentation. [1][2][3] In general, an in silico experiment begins by modeling a real system using solid theoretical physical principles, followed by the simulation of the system through computer programmed mathematical algorithms. [3][4][5] In this work, we use a hybrid ab initio/mechanical-statistical technique to study the features of biological macromolecules, proteins, and their interactions with low molecular weight chemical species, called ligands.…”
Section: Introductionmentioning
confidence: 99%