Periodic Reporting for period 1 - MuStMAM (Multi State Memory in Artificial Multiferroics)
Período documentado: 2018-03-01 hasta 2020-02-29
Electricity use by ICT could exceed ~21% (expected) to 50% (worst-case) of the global total electricity in 2030 compared to 2018. Only the data centres will use one-third of that which is more than the national energy consumption of many countries. That puts ICT’s carbon footprint to go up to almost 10 times by 2030. With the spectre of energy-hungry data-driven alarming future looming, new technology is very much essential to keep the industry’s environmental impact low while fulfilling the consumer demand for high-speed and high-density data. The results achieved in this project are very important for the society as the society is facing the mammoth challenges to create energy-efficient high-density memory.
The overall objectives of this project were to understand the strongly correlated oxide materials and their nanostructures for spintronics based multi-state non-volatile memory. Spintronics is promising for device applications but complicated by materials science aspects such as growth, characterisation and materials physics which is required to be properly investigated in order to perform with low power and higher efficiency. The project addressed these as proposed.
Exploitation and dissemination: The results obtained in the project have been published in reputed peer-reviewed journals like Nature Communications and ACS Applied Materials and Interfaces. The fellow has attended international conferences and workshops such as IWAM-2019, presented the results, and meet both young and renounced experienced researchers. The fellow also presents the results in the department of the University of Cambridge every semester.