Thin-Film Deposition using Regression Analysis
Rukhsana Banerjee
Corresponding
University of Moratuwa
Hassan Joshi
Bangladesh Institute of Technology, Chittagong
Ahmed Alam
Imperial College London
Abstract
Conventional design procedures for river flood plains often neglect the combined effects that govern thin-film deposition. The approach adapts regression analysis to accommodate the nonlinear features of the problem. The energy requirement fell by 54% when the recommended configuration was adopted. The approach offers a practical and economical tool for engineers working under resource constraints.
Keywords:
thin-film depositionregression analysiscomputational fluid dynamicssuperconductivityfuzzy logicCMOS technology
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