Researchers have developed a 'smart' way to sort and organise waste more accurately and efficiently using Random Forest and Cat Swarm Optimization algorithms.

A team of researchers at the Indian Institute of Technology Delhi (IIT Delhi) has created a cutting-edge photodetector that could greatly enhance high-speed optical communication.

The low-cost sensor made of a copper-based metal-organic framework performs as well as DNA based sensor, the gold standard for water quality sensors.

Researchers have proposed a new solid-core photonic crystal fibre, based on computer simulations, that, on paper, performs better than traditional fibre optics.

Combining hydrogen-based processes with advanced catalysts and renewable energy paves the way for developing economically and industrially viable solutions to decarbonise the steel industry

Combining two electrochemical techniques, hydrogen permeation-based potentiometry (HPP) and electrochemical impedance spectroscopy (EIS), the researchers efficiently measured the coating degradation rates on the industrially relevant metal.

IIT Kharagpur researchers have developed a new framework using blockchain-based technology and token-based incentivisation to securely and fairly share data to train an AI model.

Researchers have used machine learning and optimization tools to create new super-alloys without any rare and expensive materials.

A new study analyses some of the most widely used databases and applications or algorithms available for protein mutations and predicting disease-causing mutations among them.

Researchers from JNCASR have developed an innovative method to activate thermally activated delayed fluorescence (TADF) molecules, by trapping it with light in a “optical cavity”.