Brownian DNA Computing Article Swipe
YOU?
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· 2025
· Open Access
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· DOI: https://doi.org/10.1101/2025.08.21.671330
Silicon-based computing faces limitations in energy consumption, parallelism and the possibility to interact with living systems, prompting interest in biomolecular alternatives such as DNA computing. Here we present Brownian DNA computing that uses coupled molecular balances to form a molecular processing unit (MPU) on a DNA origami platform. The designed MPUs perform Boolean logic operations of increasing complexity including a half-adder and multiple-input gates. Distinguishing different inputs by the intensity of single-molecule probes reporting on the state of the MPU enables non-Boolean logic with two-input four-output operations directly integrating all basic logic operations in a single computational gate. The presented Brownian DNA computing approach may offer energy-efficient computation and serve as a foundation for molecular computing, sensing, and soft robotics.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1101/2025.08.21.671330
- https://www.biorxiv.org/content/biorxiv/early/2025/08/23/2025.08.21.671330.full.pdf
- OA Status
- green
- References
- 52
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4413473752
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4413473752Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1101/2025.08.21.671330Digital Object Identifier
- Title
-
Brownian DNA ComputingWork title
- Type
-
preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-08-23Full publication date if available
- Authors
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Tim Schröder, Julian Bauer, Patrick Schüler, Jonas Zähringer, Fiona Cole, Giovanni Ferrari, Leland Barnard, Karen Gronbach, Gereon Andreas Brüggenthies, Philip TinnefeldList of authors in order
- Landing page
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https://doi.org/10.1101/2025.08.21.671330Publisher landing page
- PDF URL
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https://www.biorxiv.org/content/biorxiv/early/2025/08/23/2025.08.21.671330.full.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
- OA URL
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https://www.biorxiv.org/content/biorxiv/early/2025/08/23/2025.08.21.671330.full.pdfDirect OA link when available
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DNA computing, Unconventional computing, Computer science, Adder, Computation, Logic gate, Energy consumption, Theoretical computer science, AND gate, Computational science, Algorithm, Engineering, Electrical engineering, Telecommunications, Latency (audio)Top concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- References (count)
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52Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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