| Issue |
EPJ Web Conf.
Volume 334, 2025
Traffic and Granular Flow 2024 (TGF’24)
|
|
|---|---|---|
| Article Number | 03011 | |
| Number of page(s) | 7 | |
| Section | Urban Traffic | |
| DOI | https://doi.org/10.1051/epjconf/202533403011 | |
| Published online | 12 September 2025 | |
https://doi.org/10.1051/epjconf/202533403011
Impact of nanotube length on electrical properties in PEMFCs: A coupled stochastic and numerical study for sustainable mobility
1 Applied Mathematics, Physics and Humanities, Technische Hochschule Nürnberg, 90489 Nürnberg
2 Materials Engineering, Technische Hochschule Nürnberg, 90489 Nürnberg
3 Institute for Chemistry, Materials and Product Development (Ohm-CMP), Technische Hochschule Nürnberg, 90489 Nürnberg
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Published online: 12 September 2025
Abstract
The decarbonization of the mobility sector is essential to reduce the negative impacts of global warming. For this transition, the development of advanced materials such as nanocomposites is necessary. These highly functional materials can be used in various next generation applications, like catalyst support in PEM fuel cells, which is the scope of this study. Stochastic and numerical modeling techniques are combined to investigate the percolation behaviour, an important factor influencing functional properties like electrical and thermal conductivity, in heterogeneous nanocomposites composed of irregularly shaped nanotubes. The analysis focuses in particular on the impact of nanotube length. To manage the high computational demands arising from the multiscale nature of these materials, a unit cell approach is employed. The findings show that the nanotube length has a significant effect on percolation behaviour, enabling the tailoring of functional properties for specific applications.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.

