Bipolar Electrochemical Approach with a Thin Layer of Supporting Electrolyte towards the Growth of Self‐Organizing TiO₂ Nanotubes

Abstract

We report a new bipolar electrochemical approach for the growth of ordered titanium dioxide nanotubes (NTs), using a thin layer of supporting electrolyte, and the preparation of multiple samples through bipolar electrochemistry in a single wireless run. Our configuration allows the efficient growth of TiO2 NTs in a horizontal direction with low electrolyte consumption, which facilitates heat dissipation. In this simple, rapid, and cost‐effective method, we can also successfully tune the inner and outer diameters of TiO2 NTs to 25–64 nm and 42–85 nm, respectively, with key parameters such as fluoride content, anodization voltage, anodization time, and water content.

Rational Design of Silver Gradient for Studying Size Effect of Silver Nanoparticles on Contact Killing

“…In the past decade, bipolar electrochemistry (BP) has been widely applied for generating gradients of different properties, such as chemistry, wetting, structure, and etc. − BP generates interfacial potential gradient across the bipolar electrode and the potential gradient induces physiochemical property gradient based on the redox reactions on the bipolar electrode. ,− For example, BP has been employed to construct gradient nanotubes, , wettability, gold nanoparticles, etc …”

Learning from Fullerenes and Predicting for Y6: Machine Learning and High‐Throughput Screening of Small Molecule Donors for Organic Solar Cells

“…[ 19–22 ] Even high‐speed computational facilities are available; longer time is also an issue. [ 23–26 ] Machine learning (ML) is a more suitable solution for these issues; it is fast and marginal computational cost is required. [ 27,28 ] However, sufficient amount of data are necessary because its prediction ability depends on quality and volume of data.…”

“…[19][20][21][22] Even high-speed computational facilities are available; longer time is also an issue. [23][24][25][26] Machine learning (ML) is a more suitable solution for these issues; it is fast and marginal computational cost is required. [27,28] However,…”

Modulation of Wetting Gradients by Tuning the Interplay between Surface Structuration and Anisotropic Molecular Layers with Bipolar Electrochemistry

“…Nowadays, BPE is increasingly employed in the field of materials and surface sciences . It was used for bulk synthesis of macro‐ and microscale Janus particles, for screening of electrocatalysts, in the study of corrosion processes, or for the optimization of photocatalytic surfaces …”