可扩展性
随机存取
计算机数据存储
计算机科学
光子学
编码(内存)
纳米技术
材料科学
分布式计算
计算机硬件
光电子学
计算机网络
数据库
人工智能
作者
Qiujun Liu,Qian Liu,Jie Zhang,Cheng Zhang,Long Qian,Hao Qi,Yuesheng Li,Dong‐Po Song
出处
期刊:Science Advances
[American Association for the Advancement of Science]
日期:2025-06-18
卷期号:11 (25)
标识
DOI:10.1126/sciadv.adw2613
摘要
DNA-based storage offers a compelling alternative to traditional optical and magnetic devices. However, random data access usually requires additional noncoding primer DNA as indexes, which substantially reduce the physical data density. Here, we propose an alternative strategy to overcome this barrier by loading different data-encoding DNA files into porous microspheres, each distinguished by unique photonic bandgaps and diameters, allowing for 10 5 types of indexing. With the two features as the addressing indexes, the physical separation of subsets from a diverse pool of DNA files is achieved, thereby facilitating the selective retrieval of stored data. The interconnected nanopore arrays and uniformly distributed positive charges within the microspheres enhance DNA enrichment, achieving a storage density of up to 22.6 exabytes per gram, far exceeding that of previous random access storage methods. This work outlines a simple and scalable method for creating nonfading photonic indexes, enabling long-term random access while maintaining high storage capacity.
科研通智能强力驱动
Strongly Powered by AbleSci AI