Optical property dataset of inorganic phosphor.

ABSTRACT: Developing inorganic phosphor with desired properties for light-emitting diode application has traditionally relied on time-consuming and labor-intensive material development processes. Moreover, the results of material development research depend significantly on individual researchers' intuition and experience. Thus, to improve the efficiency and reliability of materials discovery, machine learning has been widely applied to various materials science applications in recent years. However, the prediction capabilities of machine learning methods fundamentally depend on the quality of the training datasets. In this work, we constructed a high-quality and reliable dataset that contains experimentally validated inorganic phosphors and their optical properties, sourced from the literature on i

SUBMITTER: Jang S 

PROVIDER: S-EPMC10984968 | biostudies-literature | 2024 Apr

REPOSITORIES: biostudies-literature