Abstract
Abstract— According to the recent demand for materials for use in various displays and solid‐state lighting, new phosphors with improved performance have been consistently pursued. Multi‐objective genetic‐algorithm‐assisted combinatorial‐material‐search (MOGACMS) strategies have been applied to various multi‐compositional inorganic systems to search for new phosphors and to optimize the properties of phosphors. In addition, the troublesome, complex problem of high‐throughput experimentation (HTE), the inconsistency, which is frequently faced by combinatorial material scientists, is especially emphasized. The luminance and inconsistency was treated as two objective functions in our MOGACMS strategy to pinpoint and optimize promising phosphors with high photoluminance and reliable reproducibility. Using MOGACMS, several multi‐dimensional oxide systems were screened in term of the minimization of inconsistency and the maximization of luminance.
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