Kinetic frustration enables single-molecule computation

A fundamental challenge in physical systems is implementing computation at the microscopic scale where thermal fluctuations dominate. While biological systems achieve this through complex molecular networks, the physical principles enabling simpler systems to process temporal information remain unclear. Here we demonstrate how non-equilibrium dynamics can enable single molecules to perform sophisticated computation through thermal-kinetic frustration-a principle that creates a controlled discrepancy between thermodynamic stability and kinetic accessibility. By engineering this frustration in a linear polymer with N binary-state units, we create a physical realization of a deterministic finite automaton capable of accessing 2N configurations through non-equilibrium driving, far exceeding the N + 1 configurations available at equilibrium. Despite operating in a thermal environment, the molecule's dominant configuration evolves deterministically, enabling recognition of complex temporal patterns through mechanical control signals. Our framework establishes how stochastic microscopic dynamics can give rise to deterministic computation, providing new insights into non-equilibrium statistical mechanics and information processing in physical systems. The theoretical predictions can be tested using DNA nanotechnology, with potential applications in biosensing and adaptive materials.

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Publication Details

Journal
The Journal of Chemical Physics
Published
2025-04-01
DOI
https://doi.org/10.1063/5.0254949
Primary Topic
Advanced biosensing and bioanalysis techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Kinetic frustration enables single-molecule computation

Zhiyue Lu, Zhongmin Zhang
The Journal of Chemical Physics
Advanced biosensing and bioanalysis techniques
article

Kinetic frustration enables single-molecule computation

Zhiyue Lu, Zhongmin Zhang
article en

Abstract

A fundamental challenge in physical systems is implementing computation at the microscopic scale where thermal fluctuations dominate. While biological systems achieve this through complex molecular networks, the physical principles enabling simpler systems to process temporal information remain unclear. Here we demonstrate how non-equilibrium dynamics can enable single molecules to perform sophisticated computation through thermal-kinetic frustration-a principle that creates a controlled discrepancy between thermodynamic stability and kinetic accessibility. By engineering this frustration in a linear polymer with N binary-state units, we create a physical realization of a deterministic finite automaton capable of accessing 2N configurations through non-equilibrium driving, far exceeding the N + 1 configurations available at equilibrium. Despite operating in a thermal environment, the molecule's dominant configuration evolves deterministically, enabling recognition of complex temporal patterns through mechanical control signals. Our framework establishes how stochastic microscopic dynamics can give rise to deterministic computation, providing new insights into non-equilibrium statistical mechanics and information processing in physical systems. The theoretical predictions can be tested using DNA nanotechnology, with potential applications in biosensing and adaptive materials.

The Journal of Chemical PhysicsVol. 162(13)
University of North Carolina at Chapel Hill (US)
National Science Foundation
Openalex Percentile: Top 94%
Advanced biosensing and bioanalysis techniques
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