Chinese scientists develop fastest ever flash memory device

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Representative image shows a person plugging a USB drive into a laptop. — PexelsA team of Chinese scientists has developed a groundbreaking flash memory device capable of storing data at an unprecedented speed, according to state media reports.Operating at a rate of one bit per 400...

Chinese scientists develop fastest ever flash memory device Fudan University’s PoX sets new standard for non-volatile memory technology Representative image shows a person plugging a USB drive into a laptop. — Pexels A team of Chinese scientists has developed a groundbreaking flash memory device capable of storing data at an unprecedented speed, according to state media reports. Operating at a rate of one bit per 400 picoseconds, the device sets a new benchmark in semiconductor storage technology.

Named PoX, the non-volatile memory significantly outperforms even the fastest volatile memory types, Static Random-Access Memory (SRAM) and Dynamic Random-Access Memory (DRAM), which typically require 1 to 10 nanoseconds to store a single bit. A picosecond is one-trillionth of a second, or one-thousandth of a nanosecond. setTimeout(function(){ var scriptElement=document.



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js'; document.body.appendChild(scriptElement); }, 5000); While volatile memory excels in speed, it loses data once power is cut off, making it unsuitable for low-power or energy-sensitive applications.

In contrast, non-volatile memory like traditional flash retains data without power but falls short of meeting the rapid data access requirements of modern technologies, particularly in Artificial Intelligence (AI) systems. The research team at Fudan University in Shanghai overcame this limitation by engineering a two-dimensional Dirac graphene-channel flash memory. This innovative mechanism has enabled them to break through the longstanding speed barrier of non-volatile data storage and retrieval.

The team’s findings were published on Wednesday in the journal Nature. Lead researcher Zhou Peng noted, "By using AI algorithms to optimise process testing conditions, we have significantly advanced this innovation and paved the way for its future applications." A peer reviewer for the journal described the work as "original" and added that "the novelty is enough for designing the potential future high-speed flash memory.

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