Imagine if we could predict the properties of materials without having to test them in a lab. This would save a lot of time and money, and it could help scientists discover new materials with amazing properties, like super-strong metals or super-efficient semiconductors. This is exactly what researchers at the Indian Institute of Science (IISc) and University College London are working on. They are using machine learning tools to predict material properties, even when there is limited data available.
Jaechanax kuranganiensis larva. Credit authors - https://doi.org/10.55446/IJE.2025.3421
Researchers have uncovered a previously unknown species of the unique aquatic insect known as the water-penny beetle, marking the first-ever record of its genus in Tamil Nadu. The discovery, made in the fast-flowing Kurangani stream of the Bodi hills, introduces Jaechanax kuranganiensis to the world.