Mohammad Alshoul, Xinchen Wang, Zimo Wang, Jia Deng
{"title":"Electric Field-Assisted Atomic Force Microscope-Based Nanopatterning of PEDOT: PSS Nanodomes","authors":"Mohammad Alshoul, Xinchen Wang, Zimo Wang, Jia Deng","doi":"10.1016/j.mfglet.2026.07.045","DOIUrl":null,"url":null,"abstract":"<div><div>Nanostructured conductive polymers exhibit unique properties over their bulk forms, but the high-resolution nanofabrication process remains challenging. We first experimentally demonstrate a fabrication technique for nanodome fabrication on PEDOT: PSS using an electric field-assisted atomic force microscopy (E-AFM)-based nanopatterning technique. Furthermore, quantitative models were built between control parameters (dwell time and voltage) and feature dimensions. We pair a compact profile model that represents each feature as a bell-shaped peak with a 3×3 full-factorial design. The geometry dimensions of nanofeatures are characterized by their heights and widths. A first-order bilinear model in standardized dwell time and voltage captures nearly all of the output variability: it explains ∼98% of the variance (<span><math><mrow><msup><mrow><mi>R</mi></mrow><mn>2</mn></msup><mo>=</mo><mn>0.976</mn></mrow></math></span>) with a root-mean-squared error (RMSE) around 1.63 nm. Voltage exhibits a dominant influence, while dwell time contributes a smaller but still positive effect. Widths are derived by the coefficients of Gaussian and Cauchy profiles using log-scale, yielding <span><math><mrow><msup><mrow><mi>R</mi></mrow><mn>2</mn></msup><mo>≈</mo><mn>0.95</mn><mspace></mspace><mi>a</mi><mi>n</mi><mi>d</mi><mspace></mspace><mn>0.94</mn></mrow></math></span> and RMSE ≈ 10.7 and 11.3 nm, respectively. Across the parameter window, the measured dimensions span heights from 8 to 37 nm and widths from 233 to 380 nm, with round footprints and low background roughness. The overlay figures, parity plots, and block-wise residuals show a voltage-dominated, time-refined regime, in which voltage sets the overall feature size, and the dwell time provides fine-tuning within the selected parameter ranges. This framework delivers shape metric predictions that support rapid recipe tuning, sensitivity assessment, and cross-study comparison. It also provides a compact descriptor set for benchmarking E-AFM-based nanopatterning, not only for PEDOT: PSS, but also potentially for other conductive polymers.</div></div>","PeriodicalId":38186,"journal":{"name":"Manufacturing Letters","volume":"49 ","pages":"Pages 351-360"},"PeriodicalIF":2.8000,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Manufacturing Letters","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2213846326000969","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/10/5 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"ENGINEERING, MANUFACTURING","Score":null,"Total":0}
引用次数: 0
Abstract
Nanostructured conductive polymers exhibit unique properties over their bulk forms, but the high-resolution nanofabrication process remains challenging. We first experimentally demonstrate a fabrication technique for nanodome fabrication on PEDOT: PSS using an electric field-assisted atomic force microscopy (E-AFM)-based nanopatterning technique. Furthermore, quantitative models were built between control parameters (dwell time and voltage) and feature dimensions. We pair a compact profile model that represents each feature as a bell-shaped peak with a 3×3 full-factorial design. The geometry dimensions of nanofeatures are characterized by their heights and widths. A first-order bilinear model in standardized dwell time and voltage captures nearly all of the output variability: it explains ∼98% of the variance () with a root-mean-squared error (RMSE) around 1.63 nm. Voltage exhibits a dominant influence, while dwell time contributes a smaller but still positive effect. Widths are derived by the coefficients of Gaussian and Cauchy profiles using log-scale, yielding and RMSE ≈ 10.7 and 11.3 nm, respectively. Across the parameter window, the measured dimensions span heights from 8 to 37 nm and widths from 233 to 380 nm, with round footprints and low background roughness. The overlay figures, parity plots, and block-wise residuals show a voltage-dominated, time-refined regime, in which voltage sets the overall feature size, and the dwell time provides fine-tuning within the selected parameter ranges. This framework delivers shape metric predictions that support rapid recipe tuning, sensitivity assessment, and cross-study comparison. It also provides a compact descriptor set for benchmarking E-AFM-based nanopatterning, not only for PEDOT: PSS, but also potentially for other conductive polymers.