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Deformation-diffusion coupled analysis of long-term hydrogen diffusion in nanofilms

  • X. Sun
  • , M. P. Ariza
  • , K. G. Wang

Producción científica: Conference contributionrevisión exhaustiva

7 Citas (Scopus)

Resumen

The absorption and desorption of hydrogen in nanomaterials can be characterized by an atomic, deformation-diffusion coupled process with a time scale of the order of seconds to hours. This time scale is beyond the time windows of conventional atomistic computational models such as molecular dynamics (MD) and transition state theory based accelerated MD. In this paper, we present a novel, deformation-diffusion coupled computational model basing on non-equilibrium statistical mechanics, which allows long-term simulation of hydrogen absorption and desorption at atomic scale. Specifically, we propose a carefully designed trial Hamiltonian in order to construct our meanfield based approximation, then apply it to investigate the palladium-hydrogen (Pd-H) system. Specifically, here we combine the meanfield model with a discrete kinetic law for hydrogen diffusion in palladium nanofilms. This combination in practice defines the evolution of hydrogen atomic fractions and lattice constants, which facilitates the characterization of the deformation-diffusion process of hydrogen over both space and time. Using the embedded atom model (EAM) potential, we investigate the deformation-diffusion problem of hydrogen desorption and absorption in palladium nanofilms and compare our results with experiments both in equilibrium and non-equilibrium cases.

Idioma originalEnglish
Título de la publicación alojadaECCOMAS Congress 2016 - Proceedings of the 7th European Congress on Computational Methods in Applied Sciences and Engineering
EditoresG. Stefanou, V. Papadopoulos, V. Plevris, M. Papadrakakis
Páginas197-208
Número de páginas12
ISBN (versión digital)9786188284401
DOI
EstadoPublished - 2016
Evento7th European Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS Congress 2016 - Crete, Greece
Duración: jun 5 2016jun 10 2016

Serie de la publicación

NombreECCOMAS Congress 2016 - Proceedings of the 7th European Congress on Computational Methods in Applied Sciences and Engineering
Volumen1

Conference

Conference7th European Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS Congress 2016
País/TerritorioGreece
CiudadCrete
Período6/5/166/10/16

ASJC Scopus subject areas

  • Artificial Intelligence
  • Applied Mathematics

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