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This paper reports one of a scalable, cost effective Ag nanowires (AgNWs) TE, which reveals a significant reduction of four orders in magnitude of sheet resistance, from 90 kΩ sq−1 to 12 Ω sq−1, while keep transmittance of about 92% at 550 nm.

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For the three‐phase identification of solid oxide cuel cell (SOFC) electrode, this paper presents a novel segmentation method based on gaussian mixture model (GMM) for YSZ/Ni anode optical microscopy (OM) images. A coarseness‐entropy adaptive factor is defined to incorporate the spatial information based on markov random field (MRF) into GMM. Furthermore, the proposed method can obtain the trade‐off between robustness to noise and effectiveness of preserving the details. Experimental results show that the proposed method outperforms the compared method on three‐phase microstructure identification. It can provide reliable foundation for the quantification of SOFC microstructure parameters.

The activation energy of creep rupture is determined based on a new tensile creep rupture model and then applied to rationalize the creep rupture data measured over a wide range of stresses and temperatures, which enabled the predictions of 100,000 hours and 200,000 hours creep rupture strengths to be made at different temperatures in the range of 650 °C to 875 °C for alloy Inconel 740/740H. The reliability of such long-term predictions is also analyzed.