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Ferrimagnets offer the combined advantages of both ferromagnets and antiferromagnets for spintronics applications. This Review surveys recent progress.
Thermoelectric materials can generate energy from a heat differential. This Review provides an overview of mid- to high-temperature thermoelectrics, their application in modules, and the issues that need to be addressed to enable commercial implementation of state-of-the-art materials.
This Review provides an outlook on current understanding of the role of strain on the performance and stability of perovskite solar cells, as well as on tools to characterize strain in halide perovskite films and on strain management strategies.
This Review summarizes limitations in the current techniques used for patient-derived cancer organoid culture and highlights recent advancements and future opportunities for their standardization.
Porous materials can selectively and reversibly adsorb large quantities of gas. This Review highlights progress made in using this class of materials for CO2 capture processes and discusses key gaps that the materials community can address to accelerate greater adoption of adsorptive carbon capture technologies.
Metal-halide and oxide perovskites are a rich playground for fundamental studies and applications. This Review focuses on the opportunities opened by reducing the dimensionality of these materials to two-dimensional monolayers.
This Review provides an overview of computational tools and strategies, from simulation methods to machine learning and reverse-engineering approaches, used for the design of soft materials made from self-assembling colloids and nanoparticles.
Multiscale modelling is a powerful tool to simulate materials behaviour, which has important features across multiple length and time scales. This Review provides an overview of multiscale computation methods and discusses their development for use in material design.
Simulations can be used to accelerate the characterization and discovery of materials. Here we Review how electronic-structure methods such as density functional theory work, what properties they can be used to predict and how they can be used to design materials.
Materials simulations are now ubiquitous for explaining material properties. This Review discusses how machine-learned potentials break the limitations of system-size or accuracy, how active-learning will aid their development, how they are applied, and how they may become a more widely used approach.
This Review discusses the photophysical properties and nonlinear behaviour of single molecules, and their use as single-photon sources and in single-molecule sensing and quantum-sensing applications.
This Review highlights the approaches that have been utilized in the implementation of sensory feedback onto prosthetic devices to restore the sensation of touch and proprioception for amputees.
This Review provides an overview of experimental and theoretical methods for the understanding of thermal transport, summarizes recent progress in materials with ultrahigh (or low) thermal conductivities, and outlines strategies for the engineering of extreme thermal conductivity materials.
This Review highlights the progress that has been made in the development of diagnostic tools for the detection of SARS-CoV-2 in the fight against COVID-19.
