Enhancing oxygen reduction reaction mass activity in polymer electrolyte fuel cells via molecular machine learning

The search for efficient fuel cell additives is a critical challenge for improving their oxygen reduction reaction activity. Here, we present the first successful application of active learning (AL) to guide the experimental discovery of organic molecules that enhance the mass activity (MA) of Pt ca...

Celý popis

Podrobná bibliografie

Hlavní autoři:	Ekaterina Gracheva, Shin-ichi Yamazaki, Guillaume Lambard, Keitaro Sodeyama, Tsutomu Ioroi, Masafumi Asahi
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IOP Publishing 2026-01-01
Edice:	Machine Learning: Science and Technology
Témata:	materials science machine learning chemoinformatics polymer electrolyte fuel cell (PEFC) oxygen reduction reaction active learning
On-line přístup:	https://doi.org/10.1088/2632-2153/ae7f7c
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!