"Ion Pool" Structural Ion Storage Device: A New Strategy to Collect Ions by Nanoconfinement Effects

Bio-inspired High-Performance Artificial Ion Pump Mediated by Subnanoscale Dehydration Hydration Effects

The energy conversion in plant chloroplast is carried out by pumping protons into the thylakoid for driving ATP synthesis. Inspired by ion active transport in living organisms, we attempted to design an artificial ion pump induced by subnanoconfinement effects. This ionic device uses two polarity functional nanoporous films as ion-selective valves at both ends and UiO-66 metal-organic framework-filled microchannels as ion storage cavities. In the charging process, ions could be pumped into the central cavities by nanovalves, which produced an ion gradient 10 to 100 times higher than the bulk, and were trapped within the subnanocages by dehydration. In the discharging process, the enriched ions were rehydrated and slowly released by the surface charge of the nanovalves, producing a sustainable ion current. The ion storage efficiency of this nanofluidic device could be improved to 60.3%, and the release time of ion current was also prolonged by 1 order of magnitude. This work combines the active and passive transport of ions to realize fast storage and slow release of ionic current, which provides an ion gradient-mediated novel energy conversion strategy.

Neural network predicts ion concentration profiles under nanoconfinement

Modeling the ion concentration profile in nanochannel plays an important role in understanding the electrical double layer and electro-osmotic flow. Due to the non-negligible surface interaction and the effect of discrete solvent molecules, molecular dynamics (MD) simulation is often used as an essential tool to study the behavior of ions under nanoconfinement. Despite the accuracy of MD simulation in modeling nanoconfinement systems, it is computationally expensive. In this work, we propose neural network to predict ion concentration profiles in nanochannels with different configurations, including channel widths, ion molarity, and ion types. By modeling the ion concentration profile as a probability distribution, our neural network can serve as a much faster surrogate model for MD simulation with high accuracy. We further demonstrate the superior prediction accuracy of neural network over XGBoost. Finally, we demonstrated that neural network is flexible in predicting ion concentration profiles with different bin sizes. Overall, our deep learning model is a fast, flexible, and accurate surrogate model to predict ion concentration profiles in nanoconfinement.

High-Performance Integrated Iontronic Circuits Based on Single Nano/Microchannels

Recently, artificial channel-based ionic diodes and transistors are extensively studied to mimic biological systems. Most of them are constructed vertically and are challenging to be further integrated. Several examples of ionic circuits with horizontal ionic diodes are reported. However, they generally require nanoscale channel sizes to meet the demand for ion-selectivity, resulting in low current output and restricting potential applications. In this paper, a novel ionic diode is developed based on multiple-layer polyelectrolyte nanochannel network membranes. Both bipolar and unipolar ionic diodes can be achieved by simply switching the modification solution. Ionic diodes with a high rectification ratio of ≈226 are achieved in single channels with the largest channel size of 2.5 µm. This design can significantly reduce the channel size requirement and improve the output current level of ionic devices. The high-performance ionic diode with a horizontal structure enables the integration of advanced iontronic circuits. Ionic transistors, logic gates, and rectifiers are fabricated on a single chip and demonstrated for current rectification. Furthermore, the excellent current rectification ratio and the high output current of the on-chip ionic devices highlight the promise of the ionic diode as a component of complex iontronic systems for practical applications.

Janus Metal-Organic Framework Membranes Boosting the Osmotic Energy Harvesting

The unique ion-transport properties in nanoconfined pores enable nanofluidic devices with great potential in harvesting osmotic energy. The energy conversion performance could be significantly improved by the precise regulation of the "permeability-selectivity" trade-off and the ion concentration polarization effect. Here, we take the advantage of electrodeposition technique to fabricate a Janus metal-organic framework (J-MOF) membrane that possesses rapid ion-transport capability and impeccable ion selectivity. The asymmetric structure and asymmetric surface charge distribution of the J-MOF device can suppress the ion concentration polarization effect and enhance the ion charge separation, exhibiting an improved energy harvesting performance. An output power density of 3.44 W/m² has been achieved with the J-MOF membrane at a 1000-fold concentration gradient. This work provides a new strategy for fabricating high-performance energy-harvesting devices.

Super-Assembled Multi-Level Asymmetric Mesochannels for Coupled Accelerated Dual-Ion Selective Transport

Asymmetric nanofluidic devices hold great potential in energy conversion applications. However, most of the existing asymmetric nanofluidic devices remain a single-level asymmetric structure and a single-ion selective layer, which results in weak ion selectivity and limited energy conversion efficiency. Herein, a multi-level asymmetric mesoporous carbon/anodized aluminum/mesoporous silica (MC/AAO/MS) nanofluidic device with abundant and ordered mesochannels is constructed from super-assembly strategy. The resultant MC/AAO/MS exhibits diode-like ion transport and outstanding ion storage-release performance. Importantly, MC/AAO/MS couples the MC and MS dual-ion selective layers, which ensures a high ionic conductance and evidently enhances the cation selectivity. Thereby, the MC/AAO/MS demonstrates ascendant salinity gradient energy conversion performance. The power density and conversion efficiency can reach up to 5.37 W m^-2 and 32.79%, respectively. Noteworthy, a good energy conversion performance of 63 mW m^-2 can still be achieved upon high working area, outperforming 300% of the performance of MC/AAO and MS/AAO single-level asymmetric nanochannels. Theoretical calculation further verifies that the multi-level asymmetric structure and dual-ion selective transport are the reason for the enhanced cation selectivity and energy conversion efficiency. This work opens a new avenue for constructing multi-level asymmetric structured nanofluidic devices for various applications.

Brain Wave-Like Signal Modulator by Ionic Nanochannel Rectifier Bridges

Smart modulation of bioelectric signals is of great significance for the development of brain-computer interfaces, bio-computers, and other technologies. The regulation and transmission of bioelectrical signals are realized through the synergistic action of various ion channels in organisms. The bionic nanochannels, which have similar physiological working environment and ion rectification as their biological counterparts, can be used to construct ion rectifier bridges to modulate the bioelectric signals. Here, the artificial smart ionic rectifier bridge with light response is constructed by anodic aluminum oxide (AAO)/poly (spiropyran acrylate) (PSP) nanochannels. The output ion current of the rectifier bridge can be switched between "ON" and "OFF" states by irradiation with UV and visible (Vis) light, and the conversion efficiency (η) of the system in "ON" state is ≈70.5%. The controllable modulation of brain wave-like signal can be realized by ionic rectifier bridge. The ion transport properties and processes of ion rectifier bridges are explained using theoretical calculations based on Poisson-Nernst-Planck (PNP) equations. These findings have significant implications for the understanding of the intelligent ionic circuit and combination of artificial smart ionic channels to organisms, which provide new avenues for development of intelligent ion devices.

Single Artificial Ion Channels with Tunable Ion Transport Based on the Surface Modification of pH-Responsive Polymers

Artificial ion channels with tunable ionic transport control and intelligent iontronic functions at the nanoscale have a wide application in logic computing and biosensing. Although some artificial ion channels with smart ion transport characteristics have been developed, most of them are constructed on porous membranes with undefined channel numbers. It is still challenging to achieve multiple ion transport features in single nanochannels and to control the ion flow more accurately with excellent repeatability. In this paper, a design strategy is presented to fabricate pH-responsive ion channels with various ion transport features based on a single polydimethylsiloxane (PDMS) nanochannel. The single-ion nanochannel developed by this approach can be further integrated into electronic systems on a chip. Three types of artificial ion channels are demonstrated and investigated systematically in this work. With symmetric or asymmetric pH stimuli, these ion channels can alternatively change their working states among an opened state, a closed state, and an ionic diode state. Four different ion transport features can be realized in a triple-gated ion channel system. With these advantages of the design, it is promising to build smart nanofluidic iontronic devices with widespread applicability in energy conversions, active ion transport control, and biological analysis.