Szczegóły publikacji
Opis bibliograficzny
Computational topology in energy engineering: a new lens on microstructural complexity / Grzegorz BRUS, Szymon BUCHANIEC, Tomasz PROKOP, Maksym Szemer // Journal of Physics . Conference Series ; ISSN 1742-6588. — 2025 — vol. 3107 art. no. 012002, s. 1–6. — Bibliogr. s. 6, Abstr. — Publikacja dostępna online od: 2025-09-23. — PLJPSYMPO2025 : Polish — Japanese Symposium on Hydrogen Energy Technologies and Advanced Energy Systems : 02/07/2025 - 04/07/2025, Tokyo, Japan
Autorzy (4)
Dane bibliometryczne
| ID BaDAP | 162962 |
|---|---|
| Data dodania do BaDAP | 2025-09-26 |
| Tekst źródłowy | URL |
| DOI | 10.1088/1742-6596/3107/1/012002 |
| Rok publikacji | 2025 |
| Typ publikacji | referat w czasopiśmie |
| Otwarty dostęp |  |
| Creative Commons | |
| Czasopismo/seria | Journal of Physics, Conference Series |
Abstract
This work investigates the integration of computational topology into predictive modeling of solid oxide cell anode behavior, focusing on how topological invariants of the microstructure can support degradation assessment, microstructure characterization, and performance prediction. Persistence diagrams were extracted and transformed into machine learning-friendly formats via persistence diagrams and persistence images using digital microstructural representations of real and synthetically generated microstructures. These representations enabled the training of neural networks capable of estimating polarization curves and key microstructural properties. The results indicate that topological data analysis encodes microstructure features crucial for electrochemical reactions but remain undetected by classical morphological metrics. The method offers a scalable approach to incorporating microstructural complexity into surrogate models, thereby bridging the gap between data-driven approaches and the physical reality of porous electrodes. This enables a deeper understanding of microstructure–function relationships and broadening machine-learning tools for energy materials research.
