Showing Spotlights 1 - 8 of 183 in category All (newest first):
Researchers create thermochromic fluorescent materials with unprecedented sensitivity to heat, allowing multi-level encryption of hidden information that is revealed at precise temperatures.
Sep 26th, 2023
Researchers have unveiled groundbreaking ultralight super-insulating ceramic fibre materials to feed the urgent industrial need for advanced insulation in harsh environments, which marks a significant step toward a more sustainable and energy-efficient future.
Sep 22nd, 2023
Researchers have created the first-ever 16x16 array of ionic transistors that operate in an aqueous electrolytic solution. This demonstrates the potential of aqueous ionics to enable new low-power, bio-inspired computing modalities.
Sep 15th, 2023
Researchers have developed efficient terahertz radiation sources by exploiting the innate layered anisotropy of conductive metal oxides, enabling new capabilities for integrated terahertz technologies.
Sep 13th, 2023
Discover the nanoscale science behind nature's vivid structural colors. This article unravels how nanostructures like photonic crystals manipulate light without pigments to generate colors in organisms. Learn how researchers apply these bioinspired designs to develop advanced optical technologies.
Aug 8th, 2023
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.
May 23rd, 2023
Innovative study replicates human fingerprint patterns and sweating in artificial materials, offering groundbreaking advancements in soft robotics, biometrics, and biomimetic technology
May 11th, 2023
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.
Feb 27th, 2023