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![Demonstration of 100-layer volumetric nanoscale ODS and digital pattern encoding and decoding. Credit: Nature (2024). DOI: 10.1038/s41586-023-06980-y Researchers demonstrate 3D nanoscale optical disk memory with petabit capacity](https://scx1.b-cdn.net/csz/news/800a/2024/researchers-demonstrat-5.jpg)
The preferred phrases of 2023 have been not too long ago launched, with AI Giant Language Mannequin (LLM) unquestionably topping the record. As a front-runner, ChatGPT additionally emerged as one of many worldwide buzzwords of the 12 months. These disruptive improvements in AI owe a lot to massive information, which has performed a pivotal position. But, AI has concurrently offered new alternatives and challenges to the event of huge information.
Excessive-capacity information storage is indispensable in at this time’s digital financial system. Nevertheless, main storage gadgets like exhausting disk drives and semiconductor flash gadgets face limitations by way of cost-effectiveness, sturdiness, and longevity.
Optical information storage affords a promising inexperienced resolution for cost-effective and long-term information storage. Nonetheless, optical information storage encounters a elementary limitation within the spacing of adjoining recorded options, owing to the optical diffraction restrict. This bodily constraint not solely impedes the additional improvement of direct laser writing machines but additionally impacts optical microscopy and storage expertise.
Breaking the diffraction-limited barrier ranks because the foremost problem within the subject of physics, in keeping with the 125 cutting-edge scientific issues launched by Science in 2021. Additionally it is among the many seven expertise breakthroughs predicted by Nature for 2024 and past.
A multidisciplinary group led by Professor Min Gu on the College of Shanghai for Science and Expertise (USST) and the Shanghai Institute of Optics and High-quality Mechanics (SIOM), Chinese language Academy of Sciences, has efficiently overcome this problem.
They not too long ago revealed their newest analysis achievement, titled “A 3D nanoscale optical disk reminiscence with petabit capability,” in Nature.
For the primary time, researchers have demonstrated that optical information storage capability can attain the petabit (Pb) degree by extending the planar recording structure to a few dimensions with a whole bunch of layers, thereby breaking the optical diffraction restrict barrier of the recorded spots.
The storage capability inside the space of a DVD-sized disk can attain as much as Pb degree, equal to at the least 10,000 Blu-ray disks or 100 high-capacity exhausting drives.
The groundbreaking expertise of three-dimensional nanoscale optical disk reminiscence with petabit capability is revolutionary. The dataset behind GPT, which incorporates 5.8 billion listed net pages and occupies about 56Pb of textual content, would sometimes require a playground space of exhausting drives for storage.
Nevertheless, the three-dimensional nanoscale optical disk reminiscence can shrink this area to the scale of a desktop pc, considerably lowering prices. Furthermore, the power consumption of nanoscale optical disk reminiscence is a number of orders of magnitude decrease than conventional strategies, and its lifespan can attain as much as 50–100 years.
In 2013, Professor Min Gu and his analysis group achieved 9-nanometer direct laser writing expertise primarily based on dual-beam writing. German scientist Professor Stefan W. Hell gained the 2014 Nobel Prize in Chemistry for the invention of dual-beam super-resolution microscopic imaging expertise.
The three-dimensional nanoscale optical disk reminiscence expertise revealed in Nature efficiently breaks the diffraction-limited barrier for optical writing and studying, ushering in a brand new period for the digital financial system of massive information.
Extra info:
Miao Zhao et al, A 3D nanoscale optical disk reminiscence with petabit capability, Nature (2024). DOI: 10.1038/s41586-023-06980-y
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Researchers exhibit 3D nanoscale optical disk reminiscence with petabit capability (2024, March 2)
retrieved 2 March 2024
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