ArXiv TLDR

Formalizing Poisson-Boltzmann Theory for Field-Tunable Nanofluidic Devices

🐦 Tweet
2604.14777

Zhongyuan Zhao, Chudi Qi, Yuheng Li, Shoushan Fan, Qunqing Li + 1 more

cond-mat.mes-hallphysics.app-ph

TLDR

This paper formalizes Poisson-Boltzmann theory to create a unified framework for field-tunable nanofluidic transport, revealing distinct EDL regimes.

Key contributions

  • Reformulates Poisson-Boltzmann theory to identify distinct electric double layer (EDL) regimes.
  • Establishes a formal framework for tunable nanofluidic transport based on EDL regime classification.
  • Reproduces observed conductivity-concentration scaling and rationalizes ionic transistors.
  • Predicts two fundamental thermodynamic limits for electrostatic modulation (60 mV/dec and 120 mV/dec).

Why it matters

Existing experimental studies on field-tunable nanofluidic devices lack a formalized theoretical understanding. This new framework provides a unified and accurate model. It can rationalize observed behaviors and predict fundamental limits, advancing energy and information technologies.

Original Abstract

Nanofluidic devices prompts unconventional ion transports appealing to energy and information technologies, thanks to the susceptibility of confined electric double layers (EDL) to various external physical fields. Although experimental studies advance rapidly, the rationalization of field-tunable nanofluidic transports has not reached a formalized and unified level. Here we formally reformulate the Poisson-Boltzmann theory and reveal distinct EDL regimes on the parameter space. Based on the regime classification, we establish a formal framework for the tunable nanofluidic transport, which reproduces the observed conductivity-concentration scaling behaviors, rationalizes the ionic transistors with reconfigurable polarities, and predicts two fundamental thermodynamic limits for electrostatic modulation (60 mV/dec and 120 mV/dec). Being accurate, generalizable and extensible, this framework can account for a wide range of ion transports in confined spaces.

📬 Weekly AI Paper Digest

Get the top 10 AI/ML arXiv papers from the week — summarized, scored, and delivered to your inbox every Monday.