This new type of memory was demoed running at a scorching 600C for 60 hours

A new type of memory has been tested running at a blistering 600C for over 60 hours by researchers at the University of Pennsylvania.

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The researchers have used non-volatile ferroelectric diode (ferrodiode) memory that has absolutely astonishing heat resistance and other properties that allow cutting-edge data and extreme environment computing to breathe a little, pun intended.

Ferrodiode memory devices use a 45nm thin layer of a synthesized AIScN (I0.68Sc0.32N) because of its ability to retain electric states "after an external electric field is removed".

Deep Jariwala of the University of Pennsylvania's School of Engineering, said: "From deep-Earth drilling to space exploration, our high-temperature memory devices could lead to advanced computing where other electronics and memory devices would falter. This isn't just about improving devices. It's about enabling new frontiers in science and technology".

Dhiren Pradhan, the paper's first author and a postdoctoral researcher in the Jariwala and Olsson labs, said: "AlScN's crystal structure also gives it notably more stable and strong bonds between atoms, meaning it's not just heat-resistant but also pretty durable. But more notably, our memory device design and properties allow for fast switching between electrical states, which is crucial for writing and reading data at high speed".

Jariwala added: "Conventional devices using small silicon transistors have a tough time working in high-temperature environments, a limitation that restricts silicon processors, so, instead, silicon carbide is used. While silicon carbide technology is great, it is nowhere close to the processing power of silicon processors, so advanced processing and data-heavy computing such as AI can't really be done in high-temperature or any harsh environments. The stability of our memory device could allow integration of memory and processing more closely together, enhancing speed, complexity, and efficiency of computing. We call this 'memory-enhanced compute' and are working with other teams to set the stage for AI in new environments".