Journal of Materials Chemistry C

Towards Accelerating the Discovery of Efficient Iridium(III) Emitters Using Novel Database and Machine Learning Based Only on Structural Formula

Sergei V. Tatarin ¹

Lev Krasnov ¹

Ekaterina V. Nykhrikova ¹

Maxim M. Minin ^{1, 2}

Daniil E. Smirnov ¹

Andrei V. Churakov ¹

Stanislav I. Bezzubov ¹

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N.S. Kurnakov Institute of General and Inorganic Chemistry, Russian Academy of Sciences, Leninskii pr. 31, Moscow, 119991, Russia |

Department of Chemistry, Lomonosov Moscow State University, Lenins hills 1/3, Moscow 119991, Russia

Publication type: Journal Article

Publication date: 2025-03-11

Royal Society of Chemistry (RSC)

Journal: Journal of Materials Chemistry C

scimago Q1

SJR: 1.358

CiteScore: 10.8

Impact factor: 5.7

ISSN: 20507526, 20507534

DOI: 10.1039/D5TC00305A

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Abstract

Cyclometalated iridium(III) complexes are excellent emitters for organic light-emitting diodes (OLEDs), but the design of these compounds requires substantial cost and experimental efforts. In this work, we aimed at a...

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Publisher

Royal Society of Chemistry (RSC)

Journal

Journal of Materials Chemistry C

scimago Q1

SJR

1.358

CiteScore

10.8

Impact factor

5.7

ISSN

20507526 (Print)

20507534 (Electronic)

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