Polymer-modulated evaporation flow enables scalable self-assembly of highly aligned nanowires
Liyiming Tao, Zechao Jiang, Shiyuan Hu, Lin Du, Qiuting Zhang, Jiajia Zhou, Masao Doi, Xiaojun Wu, Xingkun Man, Ye Xu

TL;DR
This paper introduces a scalable, polymer-assisted self-assembly method that uses viscosity modulation during evaporation to produce highly aligned nanowire networks with tunable properties for advanced optical and electrical applications.
Contribution
The study presents a novel, simple approach employing a polymer additive to control evaporation flows, enabling large-area, highly aligned nanowire arrays with customizable orientation and density.
Findings
Achieved highly aligned silver nanowire arrays over centimeter scales.
Demonstrated broadband anisotropic optical and electrical properties.
Enabled programmable patterning through combined self-assembly and shear alignment.
Abstract
Highly aligned nanowire networks are essential for enabling anisotropic optical, electrical, and sensing functionalities in next-generation devices. However, achieving such alignment typically requires complex fabrication methods or high-energy processing. Here, we present a simple and scalable self-assembly strategy that uses a viscosity-enhancing polymer additive to modulate fluid flows during solvent evaporation. The addition of carboxymethylcellulose sodium (CMC-Na) reshapes the evaporation-driven flow field and generates a compressional flow region near the drying edge. Within this region, rotation-inducing velocity gradients progressively align silver nanowires (AgNWs) into highly ordered arrays. This unique mechanism yields uniform AgNW coatings with a high degree of nanowire alignment and tunable areal density across centimeter-scale areas. The resulting films exhibit strong…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
