Sciazko Lab

AboutAbout the lab

Into the fine structure of electrodes that governs performance.

The Sciazko Lab studies the production and use of synthetic fuels, especially the electrochemical reactions that take place in electrolysis and fuel cells.
The electrodes and catalytic reactors in these devices are made of porous structures, and their fine microstructure greatly affects performance.
To understand how microstructure relates to performance and degradation mechanisms, the lab develops methods for evaluation and prediction using machine learning.
The lab aims to advance the development of energy conversion technologies to a higher level and at a faster pace.

ResearchResearch themes

In energy conversion devices for synthetic fuel production and a hydrogen-based society, the porous structures of electrodes and reactors play an important role. The lab observes and evaluates these structures, and uses machine learning to predict how structure relates to performance and degradation.

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Energy Conversion and Porous Structures↗

Electrolyzers, fuel cells, and fuel reformers use complex porous materials. The lab observes their structures with CT and electron microscopy, and investigates how structure relates to performance through measurement and simulation.

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Predicting Structure and Degradation with Machine Learning↗

The lab develops methods that use neural networks to reconstruct 3D structures from 2D cross-sectional images, and to predict structural properties and material degradation.

VoicesStudent voices

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