IIT Bombay researchers have identified bacteria that can consume toxic pollutants in the soil and produce helpful nutrients as a byproduct.

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.

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.

Eco-efficient wall materials, such as aerated autoclaved concrete blocks, enhance indoor comfort by significantly reducing temperatures in naturally ventilated houses.

IIT Bombay researchers use a robot that mimics animal movements to study how homing animals efficiently return home without getting lost or being late

The proposed method optimises the weight, cost and range of FCEVs by determining the optimally required radiator size in the vehicles

The researchers have developed a novel method of using silicon nitride to enhance the efficiency of photonic elements, promising faster, more secure, and energy-efficient technologies for communication and information processing.

Researchers have developed ceramic based cold plates that could replace copper cold plates used to cool computers and allow smaller and compact packing of circuit boards

Novel algorithms allows real-time monitoring and dynamic task allocation to significantly improve cooperation among autonomous robots