Method offers more efficient data retrieval from synthetic polymer data storage

Researchers at Seoul National University have developed a method that enhances data retrieval from synthetic polymer-based storage. Traditionally limited by polymer chain length, which constrains storage capacity, this approach enables selective access to specific data segments without needing to read the entire chain. Using custom software, they encoded binary data into a polymer chain with strategically placed fragmentation codes. This allows efficient decoding of specific bits and supports higher-capacity storage with random access, offering a promising alternative for energy-efficient data archiving.

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