journal article·2022

Theoretical modeling of ice lithography on amorphous solid water

Tao Liu, Xujie Tong, Shuoqiu Tian, Yuying Xie, Mingsai Zhu, Bo Feng, Xiaohang Pan, Rui Zheng, Shan Wu, Ding Zhao, Yifang Chen, Bingrui Lu, Min Qiu

Nanoscale· Volume 14· Issue 25
Publisher page

Abstract

Due to the perfection of the nanofabrication in nanotechnology and nanoscience, ice lithography (IL) by patterning ice thin-films with a focused electron beam, as a significant derivative technology of electron beam lithography (EBL), is attracting growing attention, evoked by its advantages over traditional EBL with respects of in situ-fabrication, high efficiency, high accuracy, limited proximity effect, three-dimensional (3D) profiling capability, etc. However, theoretical modeling of ice lithography for replicated profiles on the ice resist (amorphous solid water, ASW) has rarely been reported so far. As the result, the development of ice lithography still stays at the experimental stage. The shortage of modeling methods limits our insight into the ice lithography capability, as well as theoretical anticipations for future developments of this emerging technique. In this work, an e-beam induced etching ice model based on the Monte Carlo algorithm for point/line spread functions is established to calculate the replicated profiles of the resist by ice lithography. To testify the fidelity of the modeling method, systematic simulations of the ice lithography property under the processing parameters of the resist thickness, electron accelerating voltage and actual patterns are performed. Theoretical comparisons between the IL on ASW and the conventional EBL on polymethyl methacrylate (PMMA) show superior properties of IL over EBL in terms of the minimum feature size, the highest aspect ratio, 3D nanostructure/devices, etc. The success in developing a modeling method for ice lithography, as reported in this paper, offers a powerful tool in characterizing ice lithography up to the theoretical level and down to molecular scales.
Source: europepmc · Quality: candidate unverified · Source record ↗

Research context

OpenAlex topics: Plasma Diagnostics and Applications · Advancements in Photolithography Techniques · Surface Modification and Superhydrophobicity

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Nanolithography and Application Research Group, State Key Laboratory of ASIC and System, School of Information Science and Technology, Fudan University, Shanghai 200433, China

Key Laboratory of 3D Micro/Nano Fabrication and Characterization of Zhejiang Province, School of Engineering, Westlake University, 18 Shilongshan Road, Hangzhou 310024, Zhejiang Province, China

Institute of Advanced Technology, Westlake Institute for Advanced Study, 18 Shilongshan Road, Hangzhou 310024, Zhejiang Province, China

Funding

National Natural Science Foundation of China · Science and Technology Commission of Shanghai Municipality

References (31)

Show source-provided references
1. Huang · Nano Lett. · 2008 · 8 · 246910.1021/nl801476v ↗
2. Khorasaninejad · Science · 2016 · 352 · 119010.1126/science.aaf6644 ↗
3. Lu · Nanoscale · 2018 · 10 · 1237810.1039/C8NR02088D ↗
4. Zou · PhotoniX · 2020 · 1 · 110.1186/s43074-020-00007-9 ↗
5. Chen · J. Vac. Sci. Technol., B: Microelectron. Nanometer Struct. – Process., Meas., Phenom. · 2003 · 21 · 301210.1116/1.1629292 ↗
6. Feng · ACS Nano · 2019 · 13 · 843310.1021/acsnano.9b04236 ↗
7. Yao · Adv. Mater. · 2019 · 31 · 190059910.1002/adma.201900599 ↗
8. Zhang · Nanoscale · 2016 · 8 · 911810.1039/C6NR00936K ↗
9. Bettinger · Angew. Chem., Int. Ed. · 2009 · 48 · 540610.1002/anie.200805179 ↗
10. Kolodziej · Chem. Mater. · 2012 · 24 · 77410.1021/cm202669f ↗
11. Tian · Nat. Mater. · 2012 · 11 · 98610.1038/nmat3404 ↗
12. Lanniel · Thin Solid Films · 2011 · 519 · 200310.1016/j.tsf.2010.10.054 ↗
13. King · Nano Lett. · 2005 · 5 · 115710.1021/nl050405n ↗
14. Hong · Nano Lett. · 2018 · 18 · 503610.1021/acs.nanolett.8b01857 ↗
15. Zhao · ACS Appl. Mater. Interfaces · 2020 · 12 · 643610.1021/acsami.9b19778 ↗
16. Tiddi · Nano Lett. · 2017 · 17 · 788610.1021/acs.nanolett.7b04190 ↗
17. Zhao · Sci. Bull. · 2019 · 64 · 86510.1016/j.scib.2019.06.001 ↗
18. Hong · Nano Lett. · 2020 · 20 · 884110.1021/acs.nanolett.0c03809 ↗
19. Han · Nano Lett. · 2010 · 10 · 505610.1021/nl1032815 ↗
20. Han · Nano Lett. · 2012 · 12 · 101810.1021/nl204198w ↗
21. Wu · Appl. Surf. Sci. · 2021 · 539 · 14826510.1016/j.apsusc.2020.148265 ↗
22. Petrik · Phys. Rev. Lett. · 2003 · 90 · 16610210.1103/PhysRevLett.90.166102 ↗
23. Egerton · Micron · 2004 · 35 · 39910.1016/j.micron.2004.02.003 ↗
24. Petrik · J. Phys. Chem. B · 2006 · 110 · 272310.1021/jp055173v ↗
25. Gadallah · Phys. Chem. Chem. Phys. · 2017 · 19 · 334910.1039/C6CP06928B ↗
26. Samoto · J. Appl. Phys. · 1983 · 54 · 385510.1063/1.332610 ↗
27. Joy · Scanning · 1989 · 11 · 17610.1002/sca.4950110404 ↗
28. Befiand · Geophys. Res. Lett. · 1995 · 22 · 349310.1029/95GL03504 ↗
29. Bichsel · Nucl. Instrum. Methods Phys. Res., Sect. B · 1992 · 345
30. Liu · Appl. Opt. · 2015 · 54 · 963010.1364/AO.54.009630 ↗
31. Xie · J. Micro/Nanolithogr., MEMS, MOEMS · 2018 · 17 · 04350210.1117/1.JMM.17.4.043502 ↗