Research

Scientists from Bangalore have developed a highly reliable, High Electron Mobility Transistor (HEMTs) that is a normally OFF device and can switch currents up to 4A and operates at 600V. This first-ever indigenous HEMT device made from gallium nitride (GaN) is useful in electric cars, locomotives, power transmission and other areas requiring high voltage and high-frequency switching would reduce the cost of importing such stable and efficient transistors required in power electronics.

Heavy metals in water could lead to several neurological diseases in humans including Alzheimer’s, Parkinson’s and multiple sclerosis. A research team at the Indian Institute of Technology (IIT) Mandi has developed a fibrous membrane filter using a biopolymer-based material that helps to separate out the heavy metals from water samples.

Dr. Vinu Mohan A.M., scientist at CSIR-Central Electrochemical Research Institute (CECRI), Karaikudi, Tamil Nadu, a recipient of the INSPIRE Faculty Fellowship instituted by the Department of Science & Technology, Government of India, has introduced a flexible low cost, wearable sensor that can track sweat for monitoring the health and physiological status of the human body. It can obviate the necessity of blood and other invasive tests.

Data Patterns, a Chennai-based firm delivered a crucial component that is meant to be used in Gaganyaan, which is India’s ambitious human spaceflight programme. The Checkout system, which was delivered to the Indian Space Research Organization, is meant to perform health checks of the various cable harness assemblies used in the Crew Module, which houses the astronauts.

Indian Scientists have developed a multifunctional heat sink enabled by 3D printing, which can dissipate heat from mechanical devices at 50 percent enhanced rate compared to conventional sinks.

Scientists have discovered a new exotic, strange state of materials in contact with an environment that alters its physical properties in the presence of an electromagnetic field, leading to better quantum technologies, which are tunable and controllable as per the user requirements.

Scientists have developed a classification method based on Deep Learning (DL) network to evaluate hormone status for prognosis of breast cancer. The proposed framework is a reliable alternative to manual methods for automatic grading systems used to determine scoring of estrogen receptor status for predicting progression of breast cancer.

The mission will carry six scientific payloads that will study the visible surface of the sun called photosphere, the irregular layer over it called the Chromosphere, and the layer of plasma called Corona, which extends for thousands of kilometers and has a very high temperature of around 6,000 Kelvin (5726.85 degrees Celsius), according to the Indian Space Research Organisation (ISRO). The mission is almost ready for launch, people aware of the developments said.