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researcher

S. Buchaniec

2 papers hereh-index 7187 citations18 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cond-mat.mtrl-sci1
  • cs.CE1

identity via Semantic Scholar / OpenAlex

most citedTopology-Informed Machine Learning for Efficient Prediction of Solid Oxide Fuel Cell Electrode Polarization

18 citations · 18 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CE2025

Persistence is All You Need -- A Topological Lens on Microstructural Characterization

Maksym Szemer, Szymon Buchaniec, Grzegorz Brus

The microstructure critically governs the properties of materials used in energy and chemical engineering technologies, from catalysts and filters to thermal insulators and sensors…

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.