In electron-beam (e-beam) lithography, the location of a feature edge may vary with experiment due to the stochastic nature of the e-beam exposure and resist-development processes. From the viewpoint of consistent reproducibility of a circuit pattern, it is essential to enhance the stability of a feature edge in the e-beam lithographic process. A fundamental metric affecting the stability is the exposure contrast over the feature edge, and therefore, it is important to understand the dependency of exposure contrast on significant parameters. However, the computer simulation for the dependency analysis is time-consuming and needs to be repeated. In this study, a new method has been developed by deriving closed-form mathematical expressions of exposure contrast for the cases of a single feature and a uniform pattern of multiple features. The mathematical expressions enable the fast analysis of exposure contrast without simulation, and therefore, can serve as a useful tool in e-beam lithography.
Skip Nav Destination
Article navigation
November 2023
Research Article|
December 21 2023
Analytic study of exposure contrast over feature edge in electron-beam lithography
Soo-Young Lee
Soo-Young Lee
a)
(Conceptualization, Formal analysis, Investigation, Methodology, Software, Visualization, Writing – original draft, Writing – review & editing)
Department of Electrical and Computer Engineering, Auburn University
, Auburn, Alabama 36849a)Electronic mail: [email protected]
Search for other works by this author on:
a)Electronic mail: [email protected]
J. Vac. Sci. Technol. B 41, 062606 (2023)
Article history
Received:
July 31 2023
Accepted:
November 21 2023
Citation
Soo-Young Lee; Analytic study of exposure contrast over feature edge in electron-beam lithography. J. Vac. Sci. Technol. B 1 November 2023; 41 (6): 062606. https://doi.org/10.1116/6.0003029
Download citation file:
Pay-Per-View Access
$40.00
Sign In
You could not be signed in. Please check your credentials and make sure you have an active account and try again.
Citing articles via
Future of plasma etching for microelectronics: Challenges and opportunities
Gottlieb S. Oehrlein, Stephan M. Brandstadter, et al.
Machine learning driven measurement of high-aspect-ratio nanostructures using Mueller matrix spectroscopic ellipsometry
Shiva Mudide, Nick Keller, et al.
Transferable GeSn ribbon photodetectors for high-speed short-wave infrared photonic applications
Haochen Zhao, Suho Park, et al.
Related Content
Effects of lithographic and pattern parameters on stability of feature-edge location in electron beam lithography
J. Vac. Sci. Technol. B (November 2024)
Subdiffraction plasmonic lens lithography prototype in stepper mode
J. Vac. Sci. Technol. B (December 2016)
3D modeling of electron-beam lithographic process from scanning electron microscope images
J. Vac. Sci. Technol. B (January 2021)
Enhancing the dry etch resistance of polymethyl methacrylate patterned with electron beam lithography
J. Vac. Sci. Technol. B (June 2017)
Estimation of critical dimension and line edge roughness using a neural network
J. Vac. Sci. Technol. B (May 2021)