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Engineering Ratchet-Based Particle Separation via Shortcuts to Isothermality

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abstract

Microscopic particle separation plays vital role in various scientific and industrial domains. In this Letter, we propose a universal non-equilibrium thermodynamic approach, employing the concept of Shortcuts to Isothermality, to realize controllable separation of overdamped Brownian particles. By utilizing a designed ratchet potential with temporal period $\tau$, we find in the slow-driving regime that the average particle velocity $\Bar{v}_s\propto\left(1-D/D^*\right)\tau^{-1}$, indicating that particles with different diffusion coefficients $D$ can be guided to move in distinct directions with a preset $D^*$. Furthermore, we reveal that there exists an extra energetic cost with a lower bound $W_{\rm{ex}}^{(\rm{min})}\propto\mathcal{L}^{2}\Bar{v}_s$, alongside a quasi-static work consumption. Here, $\mathcal{L}$ is the thermodynamic length of the driving loop in the parametric space. We numerically validate our theoretical findings and illustrate the optimal separation protocol (associated with $W_{\rm{ex}}^{(\rm{min})}$) with a sawtooth potential. This study establishes a bridge between thermodynamic process engineering and particle separation, paving the way for further explorations of thermodynamic constrains and optimal control in ratchet-based particle separation.

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2023 1

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UNVERDICTED 1

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Engineering Ratchet-Based Particle Separation via Shortcuts to Isothermality

cond-mat.stat-mech · 2023-11-28 · unverdicted · novelty 6.0

Shortcuts to isothermality applied to ratchet potentials enable separation of Brownian particles by diffusion coefficient D via velocity scaling v_s ∝ (1 - D/D*) / τ in the slow-driving limit, plus a minimal extra work cost ∝ L² v_s.

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  • Engineering Ratchet-Based Particle Separation via Shortcuts to Isothermality cond-mat.stat-mech · 2023-11-28 · unverdicted · none · ref 73 · internal anchor

    Shortcuts to isothermality applied to ratchet potentials enable separation of Brownian particles by diffusion coefficient D via velocity scaling v_s ∝ (1 - D/D*) / τ in the slow-driving limit, plus a minimal extra work cost ∝ L² v_s.