IIT-Jodhpur manufactures resistive memory device for high density data storage applications

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New Delhi, Jul 11 ​​(PTI) Researchers at the Indian Institute of Technology (IIT) Jodhpur have fabricated an ultra-low-power resistive memory device for high-density data storage applications.

According to officials, the high-performance device called “Memristor” is composed of cadmium selenide (CdSe) quantum dots (QDs) with high on/off ratio, fast operating speed, good random-access memory performance. (RAM) and long retention time and endurance of more than 150 switching cycles.

This device can also be used as high-density storage, as it can perform logical operations with fast operating speed, they said.

“Commercial memory technologies currently available in the market are hard disk drive (HDD), USB flash drive, SD card, solid state drive (SDD), dynamic random access memory (DRAM) and Static Random Access (SRAM) to store data in electronic devices. These data storage devices cannot store large amounts of data generated by digital globalization and the Internet of Things (IOT),” Satyajit said. Sahu, Associate Professor, Department of Physics, IIT-Jodhpur.

“To store massive data in a small device, miniaturization of memory devices is required. But silicon-based memory technologies face serious reliability issues when downscaling to nanometers.

“As a result, current memory technologies cannot meet the demands of high-density data storage devices. Therefore, new memory technologies are needed for high-density storage,” Sahu added.

The device has a significantly lower ultimate power consumption and a fast operating speed of around 41 nanoseconds.

“The research will revolutionize the way memory elements are used for information storage and processing applications, as it provides a platform to fabricate an ultra-low-cost, ultra-low-power memory device. “energy. It has great potential to be used as a high-performance, low-power Resistive Random Access Memory (RRAM) memory device in the future,” Sahu said.

“Researchers are also investigating human brain-inspired neuromorphic computing in resistive memory devices based on quantum dots, which will have great potential for use in the field of artificial synapse,” he added. PTI GJS RHL

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