An Improved Molecular Computation Model of Integer Power Using Self-Assembly of DNA Tiles

Li, Yongnan

doi:10.1109/hpcc/smartcity/dss.2018.00083

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“…Over recent years, DNA computing has attracted the attention of researchers from different areas, due to its potential to achieve high computational capacity [1], [2]. Performance improvement methods used for conventional silicon-based computers have several limitations, such as high energy-consumption and transistor size.…”

Section: Introductionmentioning

confidence: 99%

DNA Arithmetic With Error Correction

Famoori

Molahosseini

Zarandi

2023

IEEE Trans.on Nanobioscience

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DNA design approaches are expected to play an important role in the future design of non-silicon-based computers. However, one of the main challenges for its mass fabrication is the considerable error rate. This paper presents a DNA computing system based on the Redundant Residue Number system (RRNS) that has elegant fault-tolerance features. The proposed method is the first to introduce the sticker model into DNA Arithmetic based on RRNS. The ability of error detection and correction are advantages of the proposed computing system. Moreover, the proposed arithmetic method can operate on large DNA-represented numbers, since RNS split them into smaller numbers. The implementation of arithmetic operations on these small numbers decreases the probability of failure in DNA operations.

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Section: Introductionmentioning

confidence: 99%