Peak wavelengths of emission and absorption spectra of Eu2+-doped inorganic phosphors have been predicted. The prediction models are based only on stoichiometric information of the host materials. We developed and used the original descriptors focusing on the inorganic materials. Gaussian process regression and descriptor selection algorithm are used to built the prediction models for screening of inorganic phosphors. They are simple and practical enough for experimentalists to explore the host materials. The peak wavelengths of emission and absorption spectra are predicted with the error of 139meV and 166meV, respectively. The  importance analysis of descriptors are understood theoretically with the current of the physical mechanism deciding the photoluminescence properties. Additionally, we propose the possible phosphor candidates for next-generation television systems.

Prediction of emission and absorption spectra for Eu<sup>2+</sup>-doped inorganic phosphors based on stoichiometric information

255th National Meeting (2018)

The official archive and repository for all ACS Meetings & Expositions abstracts and select posters or presentations.

Prediction of emission and absorption spectra for Eu2+-doped inorganic phosphors based on stoichiometric information

Prediction of emission and absorption spectra for Eu²⁺-doped inorganic phosphors based on stoichiometric information