Low-cost machine learning approach to the prediction of transition metal
phosphor excited state properties

Low-cost machine learning approach to the prediction of transition metal phosphor excited state properties

18 September 2022

Gianmarco G. Terrones

Heather J. Kulik

Papers citing "Low-cost machine learning approach to the prediction of transition metal phosphor excited state properties"

Title
No papers