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dc.contributor.authorAzhari, Nabihah
dc.date.accessioned2022-12-20T22:18:25Z
dc.date.available2022-12-20T22:18:25Z
dc.date.issued2022-12
dc.identifier.urihttp://hdl.handle.net/20.500.12648/7993
dc.description.abstractExtreme Ultraviolet (EUV) technology is necessary for chip manufacturing technology for finer circuits into many components for building faster and more energy-efficient chips. The EUV process utilizes a plasma light source that emits 13.5 nanometers in wavelength to create higher resolution chip circuit designs to transfer an aerial image at smaller dimensions for advanced process nodes at lower exposure doses. Chemically amplified resists have been recently commercialized as it benefits higher resolution chip circuit designs. However, one of the issues concerning EUV technology is that it can suffer from different types of stochastic defects due to photon shot noise, random inhomogeneities, and non-random inhomogeneities. This study investigates the potential non-random stochastic effects that exist in the multicomponent resist. In the multicomponent resist, self-segregation occurs, creating an inhomogeneous distribution leading to failures in the resist. We approached this problem by looking at previous models of the phase diagram to understand the system and energetic favorability of segregation. Throughout our experiments we explore balancing the ratios of solvent, polymer, and PAG and hoping to define the line where we reach the 2-phase region indicating we have reached segregation. First, we observed phase segregated regions using AFM through a spin coating method and a drop coat method. Then we approached the issue by analyzing the bulk liquid. Although we were unable to find the exact parameters where we cross the 2-phase region, through several formulations we have narrowed down the region that segregation occurs.en_US
dc.language.isoen_USen_US
dc.subjectExtreme Ultraviolet (EUV) technologyen_US
dc.subjectChip manufacturingen_US
dc.subjectNon-random stochastic effectsen_US
dc.titleStudying the Segregation Induced Resist Component Contribution to EUV Stochastic Failuresen_US
dc.typeMasters Thesisen_US
dc.description.versionNAen_US
refterms.dateFOA2022-12-20T22:18:25Z
dc.description.institutionSUNY Polytechnic Instituteen_US
dc.description.degreelevelMSen_US
dc.description.advisorDenbeaux, Gregory, Research Thesis Advisor
dc.description.advisorLloyd, James
dc.description.advisorDunn, Kathleen
dc.description.advisorWeeber, Alexandra
dc.description.advisorAhmed, Zenab


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