Tuning Surface Reactivity Pathways through Molecular Inhibitor Redosing for Precision Nanopatterning

Abstract

Area-selective atomic layer deposition (AS-ALD) has emerged as a promising bottom-up approach for achieving precise 3D patterning in advanced nanofabrication. In this study, Ru AS-ALD on SiO2 versus Si3N4 surfaces was investigated using cyclohexane carboxaldehyde (CHAD) as a small molecule inhibitor (SMI). CHAD exhibited selective adsorption on Si3N4 , enabling the selective deposition of Ru when (tricarbonyl-(trimethylenemethane)-ruthenium (TRuST) and H2O were used as the precursor and reactant, respectively. A re-dosing strategy, validated by Monte Carlo (MC) simulation, was introduced to improve deposition selectivity. Compared to single dose of CHAD, which showed selectivity against Ru for 7 nm (50 cycles), the re-dosing strategy improved up to 27 nm (200 cycles). This improvement of selectivity was mainly due to high inhibitor adsorption density, which reduced unoccupied adsorption sites that could act as nucleation sites for precursors. The optimized Ru AS-ALD with re-dosing strategy was applied to 2D line patterns and 3D trench patterns, consisting of SiO2/Si3N4. 2D patterns achieved 26.5 nm (200 cycles) of selective deposition, accompanied by an undesirable lateral growth of 18.8 nm.Conversely, 3D patterns achieved 15 nm (100 cycles) of selective growth without lateral growth observation. The critical growth difference is mainly attributed to surface topology: 3D trench structures provide a more effective physical and chemical barrier compared to 2D structures.Consequently, the results collectively demonstrate the potential of the re-dosing strategy in selectivity improvement and the critical role of topography in achieving reliable AS-ALD for 3D nanofabrication.

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Article information

Article type
Communication
Submitted
24 Dec 2025
Accepted
02 Mar 2026
First published
03 Mar 2026

Mater. Horiz., 2026, Accepted Manuscript

Tuning Surface Reactivity Pathways through Molecular Inhibitor Redosing for Precision Nanopatterning

B. Lee, C. T. Nguyen, M. Lee, N. L. Trinh, K. Min, Y. Kang, E. Cho and H. Lee, Mater. Horiz., 2026, Accepted Manuscript , DOI: 10.1039/D5MH02445E

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