The mechanism of the kinetic pH effect in hydrogen electrocatalysis, that is, the order-of-magnitude
kinetic gap between the hydrogen oxidation and evolution reactions (HOR/HER) in …

Developing highly efficient electrocatalysts for hydrogen oxidation reaction (HOR) under
alkaline media is essential for the commercialization of alkaline exchange membrane fuel cell (…

The kinetics of hydrogen oxidation reaction (HOR) under alkaline electrolyte, even for Pt, is
orders of magnitude slower than that in acid; however, the origin that dominates the pH …

The kinetics of hydrogen oxidation reaction (HOR) declines with orders of magnitude when
the electrolyte varies from acid to base. Therefore, unveiling the mechanism of pH-dependent …

Hydrogen oxidation reaction (HOR) can effectively convert the hydrogen energy through the
hydrogen fuel cells, which plays an increasingly important role in the renewable hydrogen …

Currently, hydrogen, as a renewable energy carrier, plays a pivotal role in the sustainable
development of future energy. Hydrogen evolution reaction (HER) can effectively convert …

The development of highly efficient electrocatalysts toward hydrogen oxidation reaction (HOR)
under alkaline media is essential for the commercialization of alkaline exchange …

The problem of data sparsity has long been a challenge in recommendation systems, and
previous studies have attempted to address this issue by incorporating side information. …

Graph Neural Networks (GNNs) have evolved to understand graph structures through
recursive exchanges and aggregations among nodes. To enhance robustness, self-supervised …

Recommender systems have seen significant advancements with the influence of deep
learning and graph neural networks, particularly in capturing complex user-item relationships. …