A novel artificial intelligence (AI) technology now makes it possible to monitor ammonia (NH3)—a key contributor to harmful fine dust particles—with unprecedented precision and spatial detail, addressing longstanding ...
Star formation is a fundamental physical process in our universe. Stars light up the cosmos, and give rise to planets, some of which may support life. While humans have no doubt wondered about stars since prehistoric times, ...
Researchers at Seoul National University and Kyung Hee University report a framework to control collective motions, such as ring, clumps, mill, flock, by training a physics-informed AI to learn the local rules that govern ...
It is a fully biodegradable and eco-friendly system for hydroponic agriculture, made of hydrogel and capable of supporting plant growth with minimal water; in the future, it will be able to monitor plant health in real time. ...
Polymer-based conductive nanocomposites, particularly those incorporating carbon nanotubes, are highly promising for the development of flexible electronics, soft robotics and wearable devices. However, CNTs are difficult ...
Bacteria are constantly moving with the help of motility organs called flagella or pili to colonize new niches. Also, bacteria can exchange information, like "speaking to each other," and thus acquire new abilities through ...
In an archaeological achievement, researchers from Kumamoto University have successfully reconstructed the structure of prehistoric fishing nets from the Jomon period (ca. 14,000–900 BCE) by analyzing impressions preserved ...
A research team from the University of Chinese Academy of Sciences has revealed the failure mechanism of diamond under extreme electrical fields through in situ experiments and molecular dynamics simulations. The study, published ...
A research team led by Professor Eijiro Miyako from the Materials Chemistry Frontiers Research Area at Japan Advanced Institute of Science and Technology (JAIST) has successfully developed multifunctional nanocomposites by ...
Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables. Compare that with human ...
