2016
DOI: 10.1117/12.2219052
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Design for nanoimprint lithography: total layout refinement utilizing NIL process simulation

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Cited by 4 publications
(3 citation statements)
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“…Kobayashi et al reported that a friction force affecting the alignment rapidly increases when the residual layer thickness is smaller than 10 nm. 16) One of the causes of this increase in friction might be the increased viscoelasticity observed in this study. By quantitative comparison, differences between PAK-01 and isobornyl acrylate, such as the increase in the viscoelasticity of PAK-01 observed at larger gap widths and a larger amount of increase in viscoelasticity for PAK-01, were observed.…”
Section: Resultsmentioning
confidence: 73%
See 1 more Smart Citation
“…Kobayashi et al reported that a friction force affecting the alignment rapidly increases when the residual layer thickness is smaller than 10 nm. 16) One of the causes of this increase in friction might be the increased viscoelasticity observed in this study. By quantitative comparison, differences between PAK-01 and isobornyl acrylate, such as the increase in the viscoelasticity of PAK-01 observed at larger gap widths and a larger amount of increase in viscoelasticity for PAK-01, were observed.…”
Section: Resultsmentioning
confidence: 73%
“…The viscoelasticity of the photoresist affects the time and pressure required in this molding process. [11][12][13][14][15] In addition, during alignment, the frictional force acting on the mold surface is dominated by the viscoelasticity of the photoresist sheared in the gap width between the mold and the substrate, 16) corresponding to the residual layer thickness. The viscoelasticity of a photoresist is an important factor that affects defect control, throughput, and alignment accuracy, all of which are important for high-volume manufacturing.…”
Section: Introductionmentioning
confidence: 99%
“…Only a few simulators are applicable to the nanoimprint process [11][12][13] , and these simulators are desired by device manufacturers as part of their everyday toolbox. [14][15][16] Similar to photolithography, computational methods are needed to optimize the lithographic process and reduce development times (See Figure 1.). Key computational solutions required to support the NIL ecosystem include:  Drop recipe generator: Automated drop generation is required to create production solution drop patterns that result in uniform residual layers and fast filling that eliminates non-fill defects  Simulation packages that predict the outcome of the NIL process.…”
Section: Introductionmentioning
confidence: 99%