Hybrid phase-field and attention-based deep learning model predicts microstructure evolution in ternary alloys up to 400 timesteps with generalization to new compositions.
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Ammonia poisons PEM fuel cell cathodes by ammonium ions displacing hydronium at sulfonic acid sites and forming hydronium-absorbing ion clusters via hydrogen bonds, with higher temperatures helping to break up clusters and restore proton transport.
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