Pile-Ups Formation in AFM-Based Nanolithography : Morpho-Mechanical Characterization and Removal Strategies

In recent decades, great efforts have been made to develop innovative, effective, and accurate nanofabrication techniques stimulated by the growing demand for nanostructures. Nowadays, mechanical tip-based emerged as the most promising nanolithography technique, allowing the pattern of nanostructures with a sub-nanometer resolution, high reproducibility, and accuracy. Unfortunately, these nanostructures result in contoured pile-ups that could limit their use and future integration into high-tech devices. The removal of pile-ups is still an open challenge. In this perspective, two different AFM-based approaches, i.e., Force Modulation Mode imaging and force-distance curve analysis, were used to characterize the structure of pile-ups at the edges of nanogrooves patterned on PMMA substrate by means of Pulse-Atomic Force Lithography. Our experimental results showed that the material in pile-ups was less stiff than the pristine polymer. Based on this evidence, we have developed an effective strategy to easily remove pile-ups, preserving the shape and the morphology of nanostructures.

Medienart:

E-Artikel

Erscheinungsjahr:

2022

Erschienen:

2022

Enthalten in:

Zur Gesamtaufnahme - volume:13

Enthalten in:

Micromachines - 13(2022), 11 vom: 15. Nov.

Sprache:

Englisch

Beteiligte Personen:

Pellegrino, Paolo [VerfasserIn]
Farella, Isabella [VerfasserIn]
Cascione, Mariafrancesca [VerfasserIn]
De Matteis, Valeria [VerfasserIn]
Bramanti, Alessandro Paolo [VerfasserIn]
Vincenti, Lorenzo [VerfasserIn]
Della Torre, Antonio [VerfasserIn]
Quaranta, Fabio [VerfasserIn]
Rinaldi, Rosaria [VerfasserIn]

Links:

Volltext

Themen:

Atomic force microscopy
Atomic force-nanolithography
Journal Article
Nanomechanics
Pile-ups characterization
Pulse-Atomic Force Nanolithography

Anmerkungen:

Date Revised 28.11.2022

published: Electronic

Citation Status PubMed-not-MEDLINE

doi:

10.3390/mi13111982

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM349354863