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”.

The new method allows scientists to produce clear, real-time microscopic images of the process of crystallization in a liquid.

A recent study by UPES, Uttarakhand, and the Indian Institute of Technology (IIT) Kanpur explores the potential of using computer vision for gait analysis as an early detection tool for Autism Spectrum Disorder (ASD).

Prof. Amartya Mukhopadhyay won the Tata Transformation Prize 2024 in December for his work.

Researchers have developed a deep learning-based Intrusion Detection System, that can detect intrusions into any network by looking at data patterns