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LSCF is a promising candidate for the cathode in SOFCs. Understanding the microstructural characteristics is crucial to its application because they predominately determine the performance and durability of the porous cathodes and hence of…

Materials Science · Physics 2015-02-10 Zhangwei Chen

Macroporous silicon is widely employed in sensing and optoelectronic applications due to its large internal surface area and adjustable pore structure. However, quantitative correlations between morphology and functionality require…

Materials Science · Physics 2026-04-09 A. Ramírez-Porras , I. Prado , N. R. Schwarz , U. Steiner

The 3D microstructure of solid oxide fuel cell anodes significantly influences their electrochemical performance, but conventional methods for acquiring high-resolution microstructural 3D data such as focused ion beam scanning electron…

Materials Science · Physics 2025-10-24 Léon F. Schröder , Sabrina Weber , Lukas Fuchs , Volker Schmidt , Benedikt Prifling

Focused ion beam (FIB)-scanning electron microscopy (SEM) allowed the characterization of the microstructure of two solid oxide fuel cells prepared at different sintering temperatures. 3D volume reconstruction showed that a relatively low…

Applied Physics · Physics 2023-04-27 C. M. Ruse , L. A. Hume , Y. Wang , T. Pesacreta , X-D. Zhou

In this paper we show how reliable measurements on porous ceramic films can be made by appropriate nanoindentation experiments and analysis. Room-temperature mechanical properties of the mixed-conducting perovskite material LSCF6428 were…

Materials Science · Physics 2015-02-10 Zhangwei Chen , Xin Wang , Vinnet Bhakhri , Finn Giuliani , Alan Atkinson

Zeolites, as representative porous materials, possess intricate three-dimensional frameworks that endow them with high surface areas and remarkable catalytic properties. There are a few factors that give a huge influence on the catalytic…

Materials Science · Physics 2025-04-25 Enci Zhang , Zhuoya Dong , Xubin Han , Jianhua Zhang , Yanhang Ma , Huaidong Jiang

Image acquisition techniques such as micro-computed tomography are nowadays widely available. Quantitative analysis of the resulting 3D image data enables geometric characterization of the micro-structure of materials. Stochastic geometry…

Numerical Analysis · Mathematics 2025-01-28 Anne Jung , Claudia Redenbach , Katja Schladitz , Sarah Staub

Porosity variations in tubular scaffolds are critical to reproducible, sophisticated applications of electrospun fibers in biomedicine. Established laser micrometry techniques produced ~14,000 datapoints enabling thickness and porosity…

Applied Physics · Physics 2021-11-23 Y. Liu , F. J. Chaparro , Z. Gray , J. Gaumer , D. B. Cybyk , L. Ross , P. Gosser , Z. Tian , Y. Jia , T. Dull , A. L. Yarin , J. J. Lannutti

The development of supercapacitors is impeded by the unclear relationships between nanoporous electrode structures and electrochemical performance, primarily due to challenges in decoupling the complex interdependencies of various…

Materials Science · Physics 2025-01-17 Zhenxiang Wang , Taizheng Wu , Liang Zeng , Jiaxing Peng , Ding Yu , Ming Gao , Guang Feng

Single-phased La0.6Sr0.4Co1-yFeyO3-d (y = 0.2, 0.5, 0.8) nanorods exhibiting the rhombohedral perovskite-type phase were synthesized by a pore-wetting technique. We studied their chemical composition, crystal and electronic structures,…

Neural prosthetics are typically situated in an aggressive, biochemical environment that requires materials with superior stability and performance. These probes have dual functionalities of recording and stimulation. The material stability…

Applied Physics · Physics 2021-05-14 Nha Uyen Huynh , Sam Kassegne , George Youssef

In this work we consider the inverse problem of reconstructing the optical properties of a layered medium from an elastography measurement where optical coherence tomography is used as the imaging method. We hereby model the sample as a…

Numerical Analysis · Mathematics 2024-02-23 Peter Elbau , Leonidas Mindrinos , Leopold Veselka

Correlating the microstructure of an energy conversion device to its performance is often a complex exercise, notably in solid oxide fuel cell (SOFC) research. SOFCs combine multiple materials and interfaces that evolve in time due to high…

Electrical conductivity of porous silicon fabricated form heavily doped p-type silicon is very sensitive to NO$_2$, even at concentrations below 100 ppb. However, sensitivity strongly depends on the porous microstructure. The structural…

The structure of lithium ion battery components, such as electrodes and separators, are commonly characterised in terms of their porosity and tortuosity. The ratio of these values gives the effective transport of lithium ions in the…

Applied Physics · Physics 2018-06-04 Marie Francine Lagadec , Raphael Zahn , Simon Müller , Vanessa Wood

The remarkable properties of layered materials such as MoS2 strongly depend on their dimensionality. Beyond manipulating their dimensions, it has been predicted that the electronic properties of MoS2 can also be tailored by carefully…

Materials Science · Physics 2019-06-11 Miguel Tinoco , Louis Maduro , Sonia Conesa-Boj

Estimating the tortuosity of porous electrodes is important for understanding the performance of lithium-ion batteries and optimizing the design of electrode microstructures. In this work, a new method for estimating the tortuosity of…

Materials Science · Physics 2025-03-10 Zongli Chen , Chenzhe Li , Ying Zhao

We present a computational microscopy analysis (targeted molecular dynamics simulations) of the structure and performance of conductive metal organic framework (MOF) electrodes in supercapacitors with room temperature ionic liquids. The…

Materials Science · Physics 2020-02-24 Sheng Bi , Ming Chen , Runxi Wang , Jiamao Feng , Mircea Dinca , Alexei A. Kornyshev , Guang Feng

The local geometrical randomness of metal foams brings complexities to the performance prediction of porous structures. Although the relative density is commonly deemed as the key factor, the stochasticity of internal cell sizes and shapes…

Machine Learning · Computer Science 2022-11-04 Da Chen , Nima Emami , Shahed Rezaei , Philipp L. Rosendahl , Bai-Xiang Xu , Jens Schneider , Kang Gao , Jie Yang

Li-ion battery performance is strongly influenced by their cathodes' properties and consequently by the 3D microstructure of the particles the cathodes are comprised of. During calendaring and cycling, cracks develop within cathode…

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