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Brunauer, Emmett, and Teller (BET) introduced a theory in 1938 that modified Langmuir's assumptions to explain multilayer physical adsorption. This theory is applicable to Type II isotherms and provides a more realistic picture of adsorption processes. The BET theory assumes a uniform solid surface with localized adsorption sites, where adsorption at one site doesn't affect adsorption at neighboring sites. This theory also allows for the possibility of additional molecules being adsorbed on top...
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Multisurface Adiabatic Reactive Molecular Dynamics.

Tibor Nagy1, Juvenal Yosa Reyes1, Markus Meuwly1

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|November 19, 2015
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Adiabatic reactive molecular dynamics (ARMD) simulations now offer improved energy conservation with the new multisurface ARMD (MS-ARMD) method. This advance enables accurate modeling of chemical reactions, including gas-phase and enzymatic catalysis.

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Area of Science:

  • Computational Chemistry
  • Chemical Dynamics
  • Molecular Modeling

Background:

  • Adiabatic reactive molecular dynamics (ARMD) is a surface-crossing algorithm for simulating chemical reactions in classical molecular dynamics.
  • Conventional ARMD has limitations in energy conservation due to its time-dependent Hamiltonian during surface crossings.

Purpose of the Study:

  • To explore the applicability of conventional ARMD.
  • To introduce and implement a new multisurface ARMD (MS-ARMD) method.
  • To apply MS-ARMD to the photodissociation of sulfuric acid.

Main Methods:

  • Development and implementation of the MS-ARMD method in CHARMM.
  • Utilizing an accurate global potential energy surface (PES) for H2SO4, H2O, and SO3.
  • Performing atomistic simulations of vibrationally induced photodissociation.

Main Results:

  • MS-ARMD simulations demonstrated total energy conservation.
  • Observed intramolecular H-transfer reactions and water elimination in H2SO4 photodissociation.
  • Analytical treatment confirmed approximate energy conservation for conventional ARMD in specific cases (e.g., large reduced mass).

Conclusions:

  • MS-ARMD provides a general and accurate approach for modeling various chemical reactions, including gas-phase, homogeneous, heterogeneous, and enzymatic catalysis.
  • The method ensures total energy conservation in atomistic simulations.
  • This advancement expands the capabilities of molecular dynamics for studying complex chemical processes.