Optimizing catalyst layer composition of PEM fuel cell via machine learning: Insights from in-house experimental data

Optimizing catalyst layer composition of PEM fuel cell via machine learning: Insights from in-house experimental data

The catalyst layer (CL) is a pivotal component of Proton Exchange Membrane (PEM) fuel cells, exerting a significant impact on both performance and durability. Its ink composition can be succinctly characterized by platinum (Pt) loading, Pt/carbon ratio, and ionomer/carbon ratio. The amount of each s...

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Bibliographic Details
Main Authors: Yuze Hou, Patrick Schneider, Linda Ney, Nada Zamel
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Energy and AI
Subjects:
PEM fuel cell
Machine Learning
Catalyst layer production
Characterization
Online Access:http://www.sciencedirect.com/science/article/pii/S2666546824001058
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