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.

In today’s world, you probably belong to a variety of social networks, like your school friends, family, sports teams, and online communities, where each interaction can be likened to playing a "game" with specific rules and rewards. For instance, you might interact differently with classmates than you do with family members.

In a quest to address the global challenge of depleting natural gold mines and e-waste, scientists from the Indian Institute of Science and Education and Research, Pune (IISER Pune), Advanced Bio-Agro Tech Pvt. Ltd and CSIR-National Chemical Laboratory have engineered a novel material that promises to significantly improve how we recover gold from old electronics. They have designed a zirconium-based aerogel that is capable of capturing gold ions from solutions, even when present in ultra-trace amounts.

IIT Bombay’s new web application, IMPART, allows researchers to track changing water surface temperatures and can help to track climate change

TARA App launches reading assessments in Kendriya Vidyalaya schools across India involving 7 lakh students

The device uses a protein based biosensor to detect harmful pollutants like phenol and benzene from water samples

Six researchers under the age of 40 recognized for their seminal contributions across diverse fields.

As a teenager, it is hard enough dealing with the emotional challenges of growing; add to it the stigma of living with HIV. Then there are researchers who aim to improve the mental health of these teenagers without ever involving them in the process! This leads to a disconnect between lived experience and research outcomes. It is a little-recognized barrier to effective mental health interventions for marginalised communities. 

Investigating the implications of bacterial morphology in complex surroundings, a study by NCBS sheds light on survival strategies and ecological adaptation.

Researchers at IISc find a way to dismantle bacterial biofilms, enhancing antibiotic effectiveness.