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This project aims to improve how polymer-based solvents are modeled during freezing and solidification processes that are critical to modern semiconductor manufacturing. Building on prior experimental and theoretical studies (i.e., the collaborative work from participated institutions), the project will develop an accurate and reliable computational framework that captures how heat transfer and mechanical stresses interact across multiple length scales, from the device level down to micro- and meso-scales. The project will help explain how phase changes in solvents affect surface quality, structural stability, and reliability of nanoscale semiconductor devices by strengthening and integrating advanced numerical modeling capabilities. The expected benefits include enhanced predictive tools for semiconductor fabrication, improved alignment between experiments and simulations, and stronger research collaboration and technical expertise at the participating institutions, particularly by expanding simulation-based evaluation capabilities at the University of Toronto and advancing complementary computational mechanics expertise at the Kyoto Institute of Technology.
Minghan Xu
Kyoto Institute of Technology
Engineering
Energy and Utilities; Technology; Nanotechnology
University of Toronto
Globalink Research Award
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