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Description
| - Understanding and predicting the equilibrium behaviour of chemically reacting systems in highly non-ideal environments is critical to many fields of science and technology, including solvation, nanoporous materials, catalyst design, combustion and propulsion science, shock physics and many more. A method with recent success in predicting the equilibrium behaviour of reactions under non-ideal conditions is the reaction ensemble Monte Carlo method (RxMC). RxMC has been applied to reactions confined in porous solids or near solid surfaces, reactions at high temperature and/or high pressure, reactions in solution and at phase interfaces. The only required information is a description of the intermolecular forces among the system molecules and standard free-energy data for the reacting components. Extensions of the original method include its combination with algorithms for systems involving phase equilibria, constant-enthalpy and constant-internal energy adiabatic conditions.
- Understanding and predicting the equilibrium behaviour of chemically reacting systems in highly non-ideal environments is critical to many fields of science and technology, including solvation, nanoporous materials, catalyst design, combustion and propulsion science, shock physics and many more. A method with recent success in predicting the equilibrium behaviour of reactions under non-ideal conditions is the reaction ensemble Monte Carlo method (RxMC). RxMC has been applied to reactions confined in porous solids or near solid surfaces, reactions at high temperature and/or high pressure, reactions in solution and at phase interfaces. The only required information is a description of the intermolecular forces among the system molecules and standard free-energy data for the reacting components. Extensions of the original method include its combination with algorithms for systems involving phase equilibria, constant-enthalpy and constant-internal energy adiabatic conditions. (en)
- Přehledný článek o simulacích chemických rovnováh v reagujících sytémech pomocí metody reakčního ensemblu Monte Carlo. (cs)
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Title
| - Simulation of Chemical Reaction Equilibria by the Reaction Ensemble Monte Carlo Method:
- Simulace rovnovážné chemické reakce metodou reakčního ansamblu Monte Carlo: Přehled (cs)
- Simulation of Chemical Reaction Equilibria by the Reaction Ensemble Monte Carlo Method: (en)
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skos:prefLabel
| - Simulation of Chemical Reaction Equilibria by the Reaction Ensemble Monte Carlo Method:
- Simulace rovnovážné chemické reakce metodou reakčního ansamblu Monte Carlo: Přehled (cs)
- Simulation of Chemical Reaction Equilibria by the Reaction Ensemble Monte Carlo Method: (en)
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skos:notation
| - RIV/67985858:_____/08:00309026!RIV09-AV0-67985858
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http://linked.open...avai/riv/aktivita
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http://linked.open...avai/riv/aktivity
| - P(1ET400720409), P(1ET400720507), P(GA203/05/0725), P(IAA400720710), P(KAN400720701), Z(AV0Z40720504)
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http://linked.open...iv/cisloPeriodika
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http://linked.open...vai/riv/dodaniDat
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http://linked.open...aciTvurceVysledku
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http://linked.open.../riv/druhVysledku
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http://linked.open...iv/duvernostUdaju
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http://linked.open...titaPredkladatele
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http://linked.open...dnocenehoVysledku
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http://linked.open...ai/riv/idVysledku
| - RIV/67985858:_____/08:00309026
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http://linked.open...riv/jazykVysledku
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http://linked.open.../riv/klicovaSlova
| - simulation; review; reaction equilibria (en)
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http://linked.open.../riv/klicoveSlovo
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http://linked.open...odStatuVydavatele
| - GB - Spojené království Velké Británie a Severního Irska
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http://linked.open...ontrolniKodProRIV
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http://linked.open...i/riv/nazevZdroje
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http://linked.open...in/vavai/riv/obor
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http://linked.open...ichTvurcuVysledku
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http://linked.open...cetTvurcuVysledku
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http://linked.open...vavai/riv/projekt
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http://linked.open...UplatneniVysledku
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http://linked.open...v/svazekPeriodika
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http://linked.open...iv/tvurceVysledku
| - Lísal, Martin
- Brennan, J. K.
- Smith, W. R.
- Johnson, J. K.
- Turner, C. H.
- Gubbins, K. E.
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http://linked.open...ain/vavai/riv/wos
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http://linked.open...n/vavai/riv/zamer
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issn
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number of pages
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