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Polymer-based semiconductor wafer cleaning: The roles of organic acid, processing solvent, and polymer hydrophobicity
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Title
Polymer-based semiconductor wafer cleaning: The roles of organic acid, processing solvent, and polymer hydrophobicity
Issued Date
2023-08
Citation
Yu, Seong Hoon. (2023-08). Polymer-based semiconductor wafer cleaning: The roles of organic acid, processing solvent, and polymer hydrophobicity. Chemical Engineering Journal, 470. doi: 10.1016/j.cej.2023.144102
Type
Article
Author Keywords
Wafer cleaningPolymersNanoparticlesOrganic acidsProcessing solventFlakes
Keywords
SURFACESENERGY
ISSN
1385-8947
Abstract
We propose a novel polymer-based cleaning technique to remove nanoparticles (<100 nm) from high-k and low-k wafers. Our method involves applying a polymer solution containing a hydrophobic polymer and organic acid onto the wafer surface, resulting in the formation of a nanoparticle-containing polymer film that can be peeled off. To ensure gentle removal of the film without wafer damage, we have developed a water-based “flake” method. Water penetrates the film through the organic acid, producing fine polymer flakes that can be easily removed along with the nanoparticles. Our systematic cleaning experiments involving diverse polymers, organic acids, and solvents on various nanoparticles and wafers demonstrate that polyvinylidene fluoride, a polymer with low surface energy, is exceptionally effective in nanoparticle removal due to its hydrophobic properties. Furthermore, it exhibits significant flake generation when exposed to water, thanks to its polymorphic characteristics, thereby exerting the most potent polymer-based cleaning effect. These experimental findings are consistent with our thermodynamic model simulations. This polymer-based cleaning technique provides a feasible solution to the long-standing environmental concerns associated with conventional semiconductor cleaning processes. © 2023 Elsevier B.V.
URI
http://hdl.handle.net/20.500.11750/47945
DOI
10.1016/j.cej.2023.144102
Publisher
Elsevier
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