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A new standard for documenting synthesis procedures

Welcome Dear Ladies and Gentlemen, We are delighted to welcome you to the 6th European Conference on Metal Organic Frameworks and Porous Polymers (EuroMOF2025). Building on the success of previou...

Fraunhofer Research Award for TUD chemist Prof. Stefan Kaskel Prof. Kaskel Stefan, Professor of Inorganic Chemistry at TUD School of Science, together with Dr. Benjamin Schumm and Dr. Holger Althues ...

Carmine is a red pigment made from dried cochineal, a scale insect that has been a source of brilliant scarlet reds in clothing and art for more than two millennia, with records dating back to 700 BC....

Water’s ability to autoionize into hydroxide and hydronium ions profoundly influences surface properties, rendering interfaces either basic or acidic. While it is well-established that protons show an affinity to the air–water interface, a critical knowledge gap exists in technologically relevant surfaces like the graphene–water interface. Here we use machine learning-based simulations with first-principles accuracy to unravel the behavior of hydroxide and hydronium ions at the graphene–water interface. Our findings reveal that protons accumulate at the graphene–water interface, with the hydronium ion predominantly residing in the first contact layer of water. In contrast, the hydroxide ion exhibits a bimodal distribution, found both near the surface and further away from it. Analysis of the underlying electronic structure reveals local polarization effects, resulting in counterintuitive charge rearrangement. Proton propensity to the graphene–water interface challenges the interpretation of surface experiments and is expected to have far-reaching consequences for ion conductivity, interfacial reactivity, and proton-mediated processes.

SnO2 nanostructures decorated with Pd clusters were installed in the porous metal–organic framework (MOF) material NU-1000 and investigated as hydrogen storage materials. The proposed concept is to...