Themed collection 2025 PCCP Reviews

This article provides a comprehensive description of peptides from three dimensions: technology, properties and applications.

Alignment and solidification of small-molecule liquid crystals enables preparation of materials where nanoscale structure can be controlled macroscopically. These solids are promising for applications such as soft robotics and wearable sensors.

In this paper, we highlight the need for in situ/operando characterization to understand the evolutions occurring during the early surface activation steps of Pt-based nanoalloys leading to the actual catalysts.

This review discusses machine learning-assisted research on alkali metal-based battery materials, exploring ML processes, models, and applications for designing materials and predicting battery performance.

Surface science studies on robust model systems, including small molecule adsorption, hold great promise in revealing critical structure and chemistry-function relationships for optimizing light-driven energy conversion technologies.

This perspective aims to provide an easy-to-follow review of analytical gradient theories. We also briefly review the practical applications of these methods.

Knowledge on ODH established via computational and experimental studies drives rational design of novel catalysts and optimization of catalytic systems, which can also embrace machine learning in the future, benefiting from historic data.

Carbon nitride research has reached a promising stage with diverse applications in photocatalysis, energy storage, and sensing, driven by its unique properties and significant contributions from cutting-edge machine learning approaches.

Microscopic time-resolved spectroscopy can study the morphology-dependent photoexcitation dynamics and energy spatial transport processes in organic crystals at the nanometer and micrometer scale.