Using statistical tools and other methods for over 90 similar copper-based compounds (Cu (N ^ N) (P ^ P)) that were used in light emission experiments, the team established a relationship between x- beam structure, electronic characteristics and optical characteristics with such accuracy that it allows them to predict the behavior of new compounds, which subsequent chemistry proved to be correct.
With established mathematical connections, they designed an optimized thin-film Cu (N ^ N) (P ^ P) blue emitter with dimine and diphosphine ligands that produce 3.8cd / A at 170cd / m2 and 490mn.
“With the new blue LECs, single-layer white LECs of copper (l) with white light and a color rendering index of 90 can be realized,” according to Professor Claudia Barolo of the University of Turin.
“The previous lack of blue emitters prevented the transition from the laboratory to the real market,” said Professor Ruben Costa of TUM. “Accordingly, the creation of blue emitters is a common cornerstone in thin-layer lighting.
“We are convinced that our analytical model is a first step towards advanced machine learning methods for fine design and other active compounds,” added Costa.
The work is described in “Identification of multivariate analysis [Cu(N^N)(P^P)]+ the design and architecture of the device allow first-class electrochemical cells emitting blue and white‘published in Advanced Materials – a clearly written document that can be read online free of charge.