RECOVERING ACTIVITY OF ANODICALLY CHALLENGED OXYGEN REDUCTION ELECTROCATALYSTS BY MEANS OF REDUCTIVE POTENTIAL PULSES

Recovering activity of anodically challenged oxygen reduction electrocatalysts by means of reductive potential pulses

The stability of electrocatalysts is of great importance to ensure their applicability, but stability is generally only considered for catalysts polarised to a constant potential or current density.This excludes stability evaluation under start/stop conditions in a fuel cell or in reversible batteries in which the catalyst is alternately polarised

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Dual Higgs modes entangled into a soliton lattice in CuTe

Abstract Recently discovered Higgs particle is a key element in the standard model of elementary particles and its analogue in materials, massive Higgs mode, has elucidated intriguing collective phenomena in a wide range of materials with spontaneous symmetry breaking such as antiferromagnets, cold atoms, superconductors, superfluids, and charge de

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Exploration Degree Bias: The Hidden Influence of Node Degree in Graph Neural Network-Based Reinforcement Learning

Graph Neural Networks (GNNs) have demonstrated remarkable performance in tasks involving graph-structured data, but they also exhibit biases linked to node degrees.This paper explores a specific manifestation of such bias, termed Exploration Degree Bias (EDB), in the context of Reinforcement Learning (RL).We show that EDB arises from the inherent d

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