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A timely review covers the current state of protein corona research in nanomedicine, highlights challenges in research methodology and characterization, and discusses the role of artificial intelligence in advancing the field.
Researchers report remarkable quantum composites based on polymers with fillers comprised of a van der Waals material that reveals multiple quantum condensate phases. The quantum composites revealed unusually high dielectric constant while remaining electrically insulating.
Researchers demonstrate a new way to create chiral nanostructures using a laser beam. By carefully controlling the direction of the laser beam's vibrations, the researchers created a variety of chiral structures made of platinum oxide in unique shapes, like twisted micropillars and spiral superstructures.
RNA nanotechnology is an emerging field that combines the unique properties of RNA with the principles of nanotechnology to create new and innovative applications in medicine, biotechnology, and materials science. Here we give an overview of RNA's potential in drug delivery, diagnostics, vaccine development and gene therapy.
Super-resolution microscopy has transformed the way we view the biological world, and enabled scientists to visualize biological structures and their interactions inside cells, at a resolution of a few nanometers. But 'seeing' atomic motion in space and time is not straightforward. Researchers set out do something similar and see how individual atoms move in a molecule using X-rays. The result is an approach to extend super-resolution imaging to the challenging case of ultrafast scattering.
Functional, nanoengineered textiles are designed to enhance human comfort in outdoor activities that require cooling, warming, or drying, resulting in improved comfort levels and increased productivity in outdoor work. Furthermore, there is the potential for functional textiles to be integrated with IoT devices for a range of applications, including healthcare, sports, and fashion, demonstrating how nanotechnology can be used to create smart textiles that can provide real-time data on various metrics.
Hygromorphs are materials that can change their shape or size in response to changes in humidity or moisture. Synthetic hygromorphs, designed to have specific responses to changes in humidity, can be used in various applications, such as in sensors and actuators. A recent review generalizes a full design process for a 4D printed hygromorph which includes designing concepts, using additive manufacturing to produce designs, and measuring actuation.
Perovskite solar cells (PSCs) are complex devices made up of multiple materials that have many different factors affecting their properties, which makes it difficult to analyze them comprehensively. Machine Learning (ML) can efficiently handle these complexities and help scientists in the design of new PSCs. We outline the current state and future prospects of ML in perovskite solar cell research, including data sources, feature extraction, algorithms, model validation, interpretation, and challenges.