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Precise control of charge transfer between catalyst nanoparticles and supports presents a unique opportunity to enhance the stability, activity, and selectivity of heterogeneous catalysts.
Two-terminal memory elements, or memelements, capable of co-locating signal processing and memory via history-dependent reconfigurability at the nanoscale are vital for next-generation computing materials striving to match the brain’s efficiency
Structure-mediated adsorption and interfacial ordering is key to designing ligands for extractions with enhanced selectivity and efficiency.
Energy-efficient CO2 capture from a flue gas simulant is demonstrated via crystallization of structurally unique bicarbonate-water clusters with an aqueous guanidine sorbent.
A new method was developed for the discovery of fundamental descriptors for gas adsorption through deep learning neural network (DNN) approach. This approach has great potential to identify structural parameters for gas adsorption.
A two‐step topotactic pathway for the preparation of phosphabenzene‐based porous organic polymers (POPs) under metal‐free conditions was achieved without the use of unstable phosphorus‐based monomers.
The elusive interfacial chemistry underlying solvent extraction has been mapped in real time using nonlinear laser spectroscopy