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As Nature Reviews Materials turns 10, we look back on a decade of achievements with a Collections of some of our most impacful Reviews and Perspectives, and explore how the landscape of materials science has transformed through a series of dedicated Comments.
High-entropy alloys were once thought to owe their exceptional properties to complete chemical disorder, but advances over the past decade revealed that subtle forms of atomic order are widespread and often essential. Recognizing how order and disorder work together is now reshaping alloy design and opening new routes to stronger, tougher and more reliable materials.
Two-dimensional materials were once celebrated mainly for spectacular single-device demonstrations, but advances over the past decade have revealed that geometry, manufacturability and surface chemistry are equally decisive. Recognizing how structure, synthesis and interfaces work together is now reshaping two-dimensional materials engineering and opening new routes to scalable, reliable and application-ready systems.
This Perspective explores and explains the fundamental dogma of nanoparticle delivery to tumours and answers two central questions: ‘how many nanoparticles accumulate in a tumour?’ and ‘how does this number affect the clinical translation of nanomedicines?’
More than twenty 2D carbides, nitrides and carbonitrides of transition metals (MXenes) have been synthesized and studied, and dozens more predicted to exist. Highly electrically conductive MXenes show promise in electrical energy storage, electromagnetic interference shielding, electrocatalysis, plasmonics and other applications.
The field of DNA nanotechnology takes the DNA molecule out of its biological context and uses its information to assemble structural motifs and connect these motifs together. In this Review, a historical account of the field and the approaches used to assemble DNA nanostructures are outlined, followed by a discussion of emerging applications.
High-entropy alloys have greatly expanded the compositional space for alloy design. In this Review, the authors discuss model high-entropy alloys with interesting properties, the physical mechanisms responsible for their behaviour and fruitful ways to probe and discover new materials in the vast compositional space that remains to be explored.
Solid-state batteries based on electrolytes with low or zero vapour pressure provide a promising path towards safe, energy-dense storage of electrical energy. In this Review, we consider the requirements and design rules for solid-state electrolytes based on inorganics, organic polymers and organic–inorganic hybrids.
The porous hierarchical structure and anisotropy of wood make it a strong candidate for the design of materials with various functions, including load bearing, multiscale mass transport, and optical and thermal management. In this Review, the composition, structure, characterization methods, modification strategies, properties and applications of natural and modified wood are discussed.
In this Review, the authors analyse the fundamental concepts that govern the photocatalytic performance of organic polymer photocatalysts and discuss the challenges and future of the field of ‘soft photocatalysis’.
Polarons — quasiparticles arising from the interaction of electrons with lattice vibrations — strongly influence materials properties. This Review provides a map of the theoretical models and experimental techniques used to study polarons in materials, presenting paradigmatic examples of different types of polarons and polaron-driven phenomena.
Plastics support modern life but are also associated with environmental pollution. This Review discusses technologies for the production and recycling of bioplastics as part of a more sustainable and circular economy.
Memristors are devices that possess materials-level complex dynamics that can be used for computing, such that each memristor can functionally replace elaborate digital circuits. This Review surveys novel material properties that enable complex dynamics and new computing architectures that offer dramatically greater computing efficiency than conventional computers.
Wearable sensors that access both biophysical and biochemical information can be used to monitor the physiological state of an individual and facilitate diagnosis. This Review examines the building blocks of wearable devices, including the substrate materials as well as the sensing, decision-making and power modules.
Understanding the protein corona can advance nanomedicinal developments and elucidate how nanomaterials impact the environment. This Review discusses the evolution and challenges in characterizing the protein corona, explores how artificial intelligence can supplement experimental efforts and exposes emerging opportunities in nanomedicine and the environment.
Although perovskite solar cells now have competitive efficiencies compared with silicon solar cells, their low stability has hindered their commercial application thus far. This Review summarizes the tremendous improvements made over the past decade and offer a perspective on how to reach >25-year stable perovskite solar cells.
Single-atom catalysts benefit from metal–support interactions that enable the support to be directly involved in the reaction, accelerating specific mechanistic steps to obtain unique electrocatalytic properties. This Review discusses state-of-the-art techniques for synthesizing active co-catalytic single-atom structures and explores the design strategies that enhance their catalytic performance.
Hydrogels are promising in various fields, but improving their mechanical properties is critical for certain applications. This Review comprehensively explores design principles to construct hydrogels with superior mechanical strength, toughness and fatigue resistance, and discusses self-growing and self-reinforced hydrogels.
Volumetric 3D printing is an emerging set of technologies enabling layerless, fast fabrication of complex, multicomponent objects. This Review explores challenges in materials design and process engineering, highlighting future directions for the widespread adoption and novel applications of these technologies.
Discovering lipid nanoparticles for unmet clinical needs relies heavily on the screening of unique formulations incorporating distinct lipids and nucleic acid cargos. This Perspective highlights how automation and parallelization have accelerated the rate of lipid nanoparticle discovery and discusses how coupling these advances with machine learning enable the predictive design of new therapeutic candidates.