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Discover how machine learning and data-driven approaches are revolutionizing the design of soft materials like polymers and rubbers, making them more efficient and adaptable to various applications.
Innovative study replicates human fingerprint patterns and sweating in artificial materials, offering groundbreaking advancements in soft robotics, biometrics, and biomimetic technology
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.
Neuromorphic engineering is focused on developing computer hardware and software systems that mimic the structure, function, and behavior of the human brain. The goal of neuromorphic engineering is to create computing systems that are much more energy-efficient, scalable, and adaptive than conventional computer systems, and that can solve complex problems in a manner that is similar to how the brain solves problems. Neuromorphic computing is a specific application of neuromorphic engineering. It involves the use of hardware and software systems that are designed to process information in a manner that is similar to how the human brain processes information.
Key components that are essential to the functioning of the Internet of Things include sensors and devices, network connectivity, data storage and processing, user interfaces, and security. Many aspects of these elements can be enhanced by nanotechnologies. Nanotechnology can enhance the performance and capabilities of IoT devices by enabling the creation of smaller, more efficient, and more versatile sensors, antennas, and processors. These improvements can lead to greater accuracy, energy efficiency, and versatility in a variety of applications, including healthcare, industrial monitoring, and environmental sensing.
With a growing sustainability movement around the globe, the concept of urban farming has gained huge popularity for the development of sustainable communities. Urban farming practices don't necessarily use the same practices as conventional farming; this is especially true for the more high-tech approaches taken in vertical farming and warehouse farming. There is an opportunity and a requirement for smart technologies and the use of novel materials in urban farming, which can contribute to building a higher productivity and more sustainable urban farms.
The development of efficient cooling technology based on environmentally friendly and biobased materials is crucial to many day-to-day activities. A novel, highly efficient cellulose nanocrystal aerogel radiative cooler acts as a dual-function thermal insulator and daytime passive radiant cooler. These aerogel coolers can save on average more than 35% in cooling energy consumption and they are capable of achieving a nearly 9 degree C drop under direct sunlight, they even work effectively in hot, moist, and fickle extreme surroundings.
Modern sports equipment often appears to be a showcase for new material technologies and nowhere has this been more true than in global sport competitions. Some of the high-tech materials used by athletes in competitive winter sports are using nanomaterials. But, as the 2022 Beijing Winter Olympics has shown, other areas have benefited from nanotechnologies and nanoscience as well: ice skating, wearable monitoring devices, and even nanomaterial-based Braille printing of Olympic service manuals and spectator guides for vision impaired readers.