Multi-paradigm multi-scale simulations for fuel cell catalysts and membranes

W. Goddard, B. Merinov, A. Van Duin, T. Jacob, M. Blanco, V. Molinero, S. S. Jang, Y. H. Jang

Research output: Contribution to journalArticle

99 Citations (Scopus)

Abstract

Dramatically improving the performance of fuel cell systems with their complex heterogeneous structures involving electrocatalysts, proton conducting membrane, reactant, and interfaces between them requires understanding the fundamental chemical, electrochemical, and physical phenomena at the heart of these complex materials and relating these fundamentals to the properties and performance of the membrane - electrode assembly. Our goal is to develop a predictive model that can be used to estimate the changes in performance upon changes in the design and which can be used to monitor performance of working fuel cells. Our strategy is to start with first principles quantum mechanics (QM) and to develop overlapping simulation methodologies in which QM is used to train a reactive force field that can be applied for large-scale (millions of atom) molecular dynamics simulations while retaining the accuracy of QM. The results of molecular dynamics are used to extract a coarse grain or mesoscale description useful in modeling properties at much larger scales. This model would enable the conception, synthesis, fabrication, characterization, and development of advanced materials and structures for fuel cells and for the associated hydrocarbon fuel reformers in an overall fuel cell system. We illustrate here some of the progress toward this goal.

Original languageEnglish (US)
Pages (from-to)251-268
Number of pages18
JournalMolecular Simulation
Volume32
Issue number3-4
DOIs
StatePublished - Jan 1 2006

Fingerprint

Multiscale Simulation
Fuel Cell
electrocatalysts
Catalyst
fuel cells
Fuel cells
Quantum theory
Membrane
Paradigm
Quantum Mechanics
membranes
Membranes
quantum mechanics
Catalysts
Molecular dynamics
simulation
molecular dynamics
hydrocarbon fuels
Electrocatalysts
Predictive Model

All Science Journal Classification (ASJC) codes

  • Chemistry(all)
  • Information Systems
  • Modeling and Simulation
  • Chemical Engineering(all)
  • Materials Science(all)
  • Condensed Matter Physics

Cite this

Goddard, W., Merinov, B., Van Duin, A., Jacob, T., Blanco, M., Molinero, V., ... Jang, Y. H. (2006). Multi-paradigm multi-scale simulations for fuel cell catalysts and membranes. Molecular Simulation, 32(3-4), 251-268. https://doi.org/10.1080/08927020600599709
Goddard, W. ; Merinov, B. ; Van Duin, A. ; Jacob, T. ; Blanco, M. ; Molinero, V. ; Jang, S. S. ; Jang, Y. H. / Multi-paradigm multi-scale simulations for fuel cell catalysts and membranes. In: Molecular Simulation. 2006 ; Vol. 32, No. 3-4. pp. 251-268.
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Goddard, W, Merinov, B, Van Duin, A, Jacob, T, Blanco, M, Molinero, V, Jang, SS & Jang, YH 2006, 'Multi-paradigm multi-scale simulations for fuel cell catalysts and membranes', Molecular Simulation, vol. 32, no. 3-4, pp. 251-268. https://doi.org/10.1080/08927020600599709

Multi-paradigm multi-scale simulations for fuel cell catalysts and membranes. / Goddard, W.; Merinov, B.; Van Duin, A.; Jacob, T.; Blanco, M.; Molinero, V.; Jang, S. S.; Jang, Y. H.

In: Molecular Simulation, Vol. 32, No. 3-4, 01.01.2006, p. 251-268.

Research output: Contribution to journalArticle

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