2022
DOI: 10.1002/aesr.202200007
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The Impact of Nanoscale Percolation in Yttrium‐Doped BaZrO3 on the Oxygen Ion and Proton Conductivities: A Density Functional Theory and Kinetic Monte Carlo Study

Abstract: Acceptor-doped BaZrO 3 is known for its high proton conductivity, making it an advanced energy material for various applications, for example, electrolyzers, fuel cells, or methane-conversion cells. [1][2][3][4][5] For this reason, many groups are investigating proton migration in acceptor-doped BaZrO 3 from the past to the present day. [2,[6][7][8] Recently, we could show that proton motion in yttrium-doped BaZrO 3 is determined by two phenomena: proton trapping by yttrium ions and the formation of nanoscale … Show more

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Cited by 7 publications
(2 citation statements)
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“…64,65 We calculate a barrier of 0.72 eV in BZO, similar to the value of 0.66 eV recently calculated in another study. 66 For BCO, we calculate barriers ranging from 0.45-0.50 eV. We are unaware of previous NEB calculations on V 2+ O migration in BCO, and experimental activation energies are higher (0.69-0.90 eV 1,67,68 ).…”
Section: Papermentioning
confidence: 99%
“…64,65 We calculate a barrier of 0.72 eV in BZO, similar to the value of 0.66 eV recently calculated in another study. 66 For BCO, we calculate barriers ranging from 0.45-0.50 eV. We are unaware of previous NEB calculations on V 2+ O migration in BCO, and experimental activation energies are higher (0.69-0.90 eV 1,67,68 ).…”
Section: Papermentioning
confidence: 99%
“…Molecular dynamics (MD) simulations have been used to probe ion conduction in many systems, including ionic solids. In systems where moves can be cataloged, kinetic Monte Carlo (KMC) allows different time scale moves by choosing a move based on its probability and advancing the simulation clock based on the move’s rate constant. To overcome the challenges of both the distinct time and length scale important to ion conduction, a variety of multiscale methods have been developed and applied successfully to shed light on critical ion conduction technologies. , Many of these methods generate trajectories that can be probed to understand the system dynamics. Trajectories of ion conduction in solids may include many conducting ion diffusion steps near traps and a few escapes to fast conduction regions intermingled with smaller movements of other ions.…”
Section: Introductionmentioning
confidence: 99%