18 citations · 18 across the 2 of their papers we have counts for
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cond-mat.mtrl-sci2026
A Topology-Based Approach to Representative Volume Element Assessment in Solid Oxide Cell Anodes Using Large Volume Tomography and Persistent Homology
Aleksandra Kukiełka, Maksym Szemer, Szymon Buchaniec +2
Determining the representative volume element is essential for establishing statistically meaningful microstructure-property relationships. Conventional approaches rely on the conv…
cond-mat.mtrl-sci2024★ 18 cited
Topology-Informed Machine Learning for Efficient Prediction of Solid Oxide Fuel Cell Electrode Polarization
Maksym Szemer, Szymon Buchaniec, Tomasz Prokop +1
Machine learning has emerged as a potent computational tool for expediting research and development in solid oxide fuel cell electrodes. The effective application of machine learni…