JOURNAL ARTICLE

Compact vacuum setup for laser induced plasma etching with optical emission spectrum monitoring.

  • Published In: Journal of Vacuum Science & Technology: Part B-Nanotechnology & Microelectronics, 2025, v. 43, n. 3. P. 1 1 of 3

  • Database: Applied Science & Technology Source Ultimate 2 of 3

  • Authored By: Šilhan, Lukáš; Arregi, Jon Ander; Plichta, Tomáš; Vaculík, Ondřej; Novotný, Jan; Šerý, Mojmír 3 of 3

Abstract

The article focuses on the development and evaluation of a laser-induced plasma etching (LIPE) setup utilizing a femtosecond laser and a custom-designed compact vacuum chamber filled with SF₆ gas for precision microfabrication. This system enables controlled plasma generation at reduced laser pulse energy thresholds (15–20 μJ) compared to previous reports, with spectral monitoring revealing distinct fluorine and sulfur emission lines that facilitate real-time process analysis. Experimental results demonstrate plasma ignition using various microscope objectives and characterize the effects of numerical aperture and working distance on plasma plume formation. Preliminary surface treatment tests on fused silica showed an increase in surface roughness after LIPE processing, indicating material modification capabilities. The setup provides a foundation for optimizing LIPE parameters and advancing precision etching applications in semiconductor and photonic device manufacturing.

Additional Information

  • Source:Journal of Vacuum Science & Technology: Part B-Nanotechnology & Microelectronics. 2025/05, Vol. 43, Issue 3, p1
  • Document Type:Article
  • Subject Area:Technology
  • Publication Date:2025
  • ISSN:21662746
  • DOI:10.1116/6.0004296
  • Accession Number:185386071
  • Copyright Statement:Copyright of Journal of Vacuum Science & Technology: Part B-Nanotechnology & Microelectronics is the property of American Institute of Physics and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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