Analyses of microstructural and elastic properties of porous SOFC cathodes based on focused ion beam tomography

Chen, Zhangwei; Wang, Xin; Giuliani, Finn; Atkinson, A.

doi:10.1016/j.jpowsour.2014.09.131

Cited by 33 publications

(14 citation statements)

References 25 publications

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“…They found that volume fraction has larger sensitivity than the surface area to the threshold values of the images. Strong dependence of volume fraction on threshold value was also reported by Chen, et al [17]. Furthermore, during image processing, the interface shape can be easily deformed when an arbitrary grayscale threshold value is simply applied for segmentation, which is due to the transient brightness distribution at the interface.…”

supporting

confidence: 52%

Dependence of solid oxide fuel cell electrode microstructure parameters on focused ion beam – Scanning electron microscopy resolution

Shimura

Jiao

Shikazono

2016

International Journal of Hydrogen Energy

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Dependence of microstructure parameters on the resolution of focused ion beam-scanning electron microscopy (FIB-SEM) images was evaluated for nickel-yttria stabilized zirconia (Ni-YSZ) electrode of solid oxide fuel cell (SOFC). Three dimensional microstructure was reconstructed by FIB-SEM images at voxel size of 3 nm which is the highest resolution among the reported SOFC researches. Volume fraction, triple phase boundary (TPB) density and specific surface areas were calculated with various resolutions. Dependences of TPB density and specific surface areas on resolution were clearly shown. Changes of these parameters at high resolution were attributed to the surface roughness caused by the image drift in the scanning electron microscopy imaging. Accurate vales of TPB density and specific surface area were estimated by extrapolation from several values at coarser resolutions and compared with those at typical resolutions which are normally applied in conventional microstructure analysis of SOFC electrodes. The result indicates that the dependence on resolution should be taken into account for the quantitative analysis of microstructure parameters.

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supporting

confidence: 52%

Dependence of solid oxide fuel cell electrode microstructure parameters on focused ion beam – Scanning electron microscopy resolution

Shimura

Jiao

Shikazono

2016

International Journal of Hydrogen Energy

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“…Samples in form of a square with a side length of 5 mm were cut out of the cells and infiltrated with epoxy resin (Epofix, Struers GmbH, Germany) . The impregnation was done in several steps.…”

Section: Methodsmentioning

confidence: 99%

Nickel Depletion and Agglomeration in SOFC Anodes During Long‐Term Operation

et al. 2017

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Low degradation is a key feature for a successful commercialization of solid oxide fuel cell (SOFC) systems. A variety of degradation mechanisms influences the overall degradation rate. Nickel depletion, agglomeration and coarsening in anodes during operation are considered as an important degradation mechanism. In this work, the microstructure of SOFC anodes of electrolyte‐supported cells with operation times up to 20,000 hours (850 °C) were analyzed. The examined anodes consist of a porous cermet of nickel and gadolinium doped ceria. Scanning electron microscopy (SEM) and energy‐dispersive X‐ray (EDX) analysis were used to investigate the nickel distribution in the anode. The results show nickel depletion at the electrolyte/anode interface, which becomes more noticeable for increased operation time. In addition, nickel agglomeration in the contact layer and in the functional layer was found. A relationship between nickel agglomeration and depletion was deduced.

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“…Many datasets have been proposed to test the reading comprehension ability of NLP systems. This includes the SQuAD (Rajpurkar et al, 2016), NewsQA (Trischler et al, 2016), and MCTest (Richardson et al, 2013) benchmarks that focus on factual questions; the SNLI (Bowman et al, 2015) and MultiNLI (Williams et al, 2018) benchmarks for sentence understanding; and the bABI tasks (Weston et al, 2015), to name a few. Our primary contribution to this line of work is the development of a carefully designed diagnostic benchmark to evaluate model robustness and systematic generalization in the context of NLU.…”

Section: Related Workmentioning

confidence: 99%

CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text

Sinha¹,

Sodhani²,

Dong³

et al. 2019

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conferen

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The recent success of natural language understanding (NLU) systems has been troubled by results highlighting the failure of these models to generalize in a systematic and robust way. In this work, we introduce a diagnostic benchmark suite, named CLUTRR, to clarify some key issues related to the robustness and systematicity of NLU systems. Motivated by classic work on inductive logic programming, CLUTRR requires that an NLU system infer kinship relations between characters in short stories. Successful performance on this task requires both extracting relationships between entities, as well as inferring the logical rules governing these relationships. CLUTRR allows us to precisely measure a model's ability for systematic generalization by evaluating on held-out combinations of logical rules, and it allows us to evaluate a model's robustness by adding curated noise facts. Our empirical results highlight a substantial performance gap between state-of-the-art NLU models (e.g., BERT and MAC) and a graph neural network model that works directly with symbolic inputs-with the graph-based model exhibiting both stronger generalization and greater robustness. . 2016. A corpus and cloze evaluation for deeper understanding of commonsense stories. In Proceedings of NAACL-HLT, pages 839-849.Stephen Muggleton. 1991. Inductive logic programming. New Generation Computing, 8(4):295-318. . 2016. Ms marco: A human generated machine reading comprehension dataset. arXiv preprint arXiv:1611.09268. Zettlemoyer. 2018. Deep contextualized word representations. In NAACL.

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Analyses of microstructural and elastic properties of porous SOFC cathodes based on focused ion beam tomography

Abstract: 25.03.15 KB. Ok to add accepted version to spiral, subject 12 months embarg

Cited by 33 publications

References 25 publications

Dependence of solid oxide fuel cell electrode microstructure parameters on focused ion beam – Scanning electron microscopy resolution

Dependence of solid oxide fuel cell electrode microstructure parameters on focused ion beam – Scanning electron microscopy resolution

Nickel Depletion and Agglomeration in SOFC Anodes During Long‐Term Operation

CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text

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