Electric-Field-Assisted Contact Mode AFM-Based Nanolithography with Low Stiffness Conductive Probes

التفاصيل البيبلوغرافية
العنوان: Electric-Field-Assisted Contact Mode AFM-Based Nanolithography with Low Stiffness Conductive Probes
المؤلفون: Huimin Zhou, Yingchun Jiang, Christopher M Dmuchowski, Changhong Ke, Jia Deng
المصدر: Journal of Micro and Nano-Manufacturing.
بيانات النشر: ASME International, 2022.
سنة النشر: 2022
مصطلحات موضوعية: Mechanics of Materials, Process Chemistry and Technology, Industrial and Manufacturing Engineering
الوصف: Electric-field-assisted atomic force microscope (E-AFM) nanolithography is a novel polymer-patterning technique that has diverse applications. E-AFM uses a biased AFM tip with conductive coatings to make patterns with little probe-sample interaction, which thereby avoids the tip wear that is a major issue for contact-mode AFM-based lithography, which usually requires a high probe-sample contact force to fabricate nanopatterns; however, the relatively large tip radius and large tip-sample separation limit its capacity to fabricate high-resolution nanopatterns. In this paper, we developed a contact mode E-AFM nanolithography approach to achieve high-resolution nanolithography of poly (methyl methacrylate) (PMMA) using a conductive AFM probe with a low stiffness (~0.16 N/m). The nanolithography process generates features by biasing the AFM probe across a thin polymer film on a metal substrate. A small constant force (0.5-1 nN) applied on the AFM tip helps engage the tip-film contact, which enhances nanomachining resolution. This E-AFM nanolithography approach enables high-resolution nanopatterning with feature width down to ~16 nm, which is less than one half of the nominal tip radius of the employed conductive AFM probes.
تدمد: 2166-0476
2166-0468
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::7052233a3b95e407be77a3c49b5d0941
https://doi.org/10.1115/1.4054316
حقوق: CLOSED
رقم الأكسشن: edsair.doi...........7052233a3b95e407be77a3c49b5d0941
قاعدة البيانات: OpenAIRE