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Volume 8

  • Modelling across scales

    In their work, Haussener, López and colleagues study the electrochemical reduction of CO2 on silver catalysts via a catered multiscale modelling approach, identifying the crucial roles of mass transport and cation accumulation near the electrode’s surface.

    See Lorenzutti et al.

  • Electrooxidation at scale

    In their work, Haohong Duan and colleagues engineer a pilot-scale solid polymer electrolyte reactor for oxidation of biomass derivatives to polymer precursors with high yield of concentrated product.

    See Ren et al.

  • Bimetallic shuffle

    In their work, Dae-Hyun Nam and colleagues determine that the reconstruction of Cu–X bimetallic electrocatalysts for CO2 reduction depends on the miscibility of Cu and X and their binding energies with reaction intermediates.

    See Kim et al.

  • Migrating copper

    In their work, Peidong Yang and colleagues reveal the dynamic evolution from faceted Cu nanocatalysts into metallic nanograins during CO2 reduction driven by the surface migration of electrogenerated copper carbonyl.

    See Yang et al.

  • RNA-assisted precision medicine

    Precision medicine allows the design of medical therapies to be tailored to the genetic set-up of patients. A Comment by Charles H. Jones and Mikael Dolsten discusses the capabilities and catalytic mechanisms of RNA-based biocatalysts, including ribozymes and CRISPR–Cas systems, for the controlled editing of RNA and DNA to advance precision medicine.

    See Jones & Dolsten

  • Protonic ceramic steam electrolysis

    In their work, Dong Ding and colleagues provide critical insights into the steam electrolysis electrode in protonic ceramic cells for hydrogen production, offering guidelines on the design of electrode materials and catalysts.

    See Li et al.

  • Propanol electrosynthesis

    In their work, Edward Sargent and colleagues prepare a dilute Sn-in-Cu electrocatalyst in a catalyst/carbon/ionomer heterojunction architecture for reduction of CO to the concentrated C3 product n-propanol.

    See Chen et al.

  • Screening photocatalysts

    In their work, Yujie Xiong and colleagues use a machine learning approach based on multiple descriptors to screen photosensitizer–catalyst combinations and identify efficient systems for photocatalytic CO2 reduction.

    See Hu et al.

  • Urea solidified

    In their work, Xiaolin Zheng and colleagues couple hydrogen peroxide-selective oxygen electroreduction with precipitation of urea from urine resulting in wastewater purification and co-production of the solid nitrogen source percarbamide.

    See Shi et al.

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