25 citations · 60 across the 4 of their papers we have counts for
4 papers
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…
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…
Microstructure Evolution of Solid Oxide Fuel Cell Anodes Characterized by Persistent Homology
Piotr Pawłowski, Szymon Buchaniec, Tomasz Prokop +2
Uncovering microstructure evolution mechanisms that accompany the long-term operation of solid oxide fuel cells is a fundamental challenge in designing a more durable energy system…
An Analysis of an Integrated Mathematical Modeling -- Artificial Neural Network Approach for the Problems with a Limited Learning Dataset
Szymon Buchaniec, Marek Gnatowski, Grzegorz Brus
One of the most common and universal problems in science is to investigate a function. The prediction can be made by an Artificial Neural Network (ANN) or a mathematical model. Bot…