2020
DOI: 10.35848/1347-4065/abc29d
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Regression analysis of photodecomposable quencher concentration effects on chemical gradient in chemically amplified extreme ultraviolet resist processes

Abstract: Chemically amplified resists have been used in the state-of-the-art extreme ultraviolet (EUV) lithography. A basic additive has been added to the resist formula as a quencher to control acid diffusion. In this study, the effects of photodecomposable quencher (PDQ) concentration on the chemical gradient (an indicator of line edge roughness) in chemically amplified EUV resist processes were investigated. The chemical gradient was calculated on the basis of the sensitization and reaction mechanisms for different … Show more

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Cited by 7 publications
(8 citation statements)
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“…Recently, the application of machine learning to material engineering has attracted much attention. 6,[30][31][32] Machine learning is a technology that makes a computer (algorithm) learn the relationship between inputs and outputs and predict an output from new inputs on the basis of the learned data. Among the many fields in which machine learning is being implemented, polymer science has benefited from machine learning.…”
Section: Introductionmentioning
confidence: 99%
“…Recently, the application of machine learning to material engineering has attracted much attention. 6,[30][31][32] Machine learning is a technology that makes a computer (algorithm) learn the relationship between inputs and outputs and predict an output from new inputs on the basis of the learned data. Among the many fields in which machine learning is being implemented, polymer science has benefited from machine learning.…”
Section: Introductionmentioning
confidence: 99%
“…In this study, the protected unit distributions after PEB were compared at a constant sensitizer concentration, because the PAG and PDQ both function as the information receiver in the sensitization process. 44,45) Figure 3 shows the dependence of the average decomposed sensitizer concentration on the film thickness in Pattern II. The graph shows the depth profile of average decomposed sensitizer concentrations upon exposure to 90 μC cm −2 EB.…”
Section: Resultsmentioning
confidence: 99%
“…The protected unit distributions after PEB were compared at a constant sensitizer concentration, because PAG and PDQ both function as the information receiver in the sensitization process. 43,44) The ratio of PAG concentration to PDQ concentration was optimized to maximize the chemical gradient (minimize LER) for each case. Figures 3-5 show the dependence of the average decomposed sensitizer concentration on the film thickness in Pattern II.…”
Section: Resultsmentioning
confidence: 99%