Computational Design of Multiple Resonance-Type BN Molecules for Inverted Singlet and Triplet Excited States

Yong Jin Pu, Danillo Valverde, Juan Carlos Sancho-García, Yoann Olivier

Research output: Contribution to journalArticlepeer-review

Abstract

A computational design of linearly extended multiple resonance (MR)-type BN molecules based on DABNA-1 is proposed herein in the quest to find potential candidates that exhibit a negative singlet-triplet gap (ΔEST) and a large oscillator strength value. The impact of a proper account of the electron correlation in the lowest singlet and triplet excited states is systematically investigated by using double-hybrid functionals within the TD-DFT framework, as well as wavefunction-based methods (EOM-CCSD and SCS-CC2), since this contribution plays an essential role in driving the magnitude of the ΔEST in MR-TADF and inverted singlet-triplet gap compounds. Our results point out a gradual reduction of the ΔEST gap with respect to the increasing sum of the number of B and N atoms, reaching negative ΔEST values for some molecules as a function of their size. The double-hybrid functionals reproduce the gap with only slight deviation compared to available experimental data for DABNA-1, ν-DABNA, and mDBCz and nicely agree with high-level quantum mechanical methods (e.g., EOM-CCSD and SCS-CC2). Larger oscillator strengths are found compared to the azaphenalene-type molecules, also exhibiting the inversion of their singlet and triplet excited states. We hope this study can serve as a motivation for further design of the molecules showing negative ΔEST based on boron- and nitrogen-doped polyaromatic hydrocarbons.

Original languageEnglish
Pages (from-to)10189-10196
Number of pages8
JournalThe Journal of physical chemistry. A, Molecules, spectroscopy, kinetics, environment, & general theory
Volume127
Issue number48
DOIs
Publication statusPublished - 7 Dec 2023

Funding

J.C.S.G. acknowledges financial support from the “Ministerio de Ciencia e Innovación’’ of Spain (project PID2019-106114GB-I00). D.V. and Y.O. acknowledge funding by the “Fonds de la Recherche Scientifique-FNRS” under grant no. F.4534.21 (MIS-IMAGINE). The work in Namur has been funded by the Belgian National Fund for Scientific Research (F.R.S.-FNRS) within the Consortium des Équipements de Calcul Intensif (CÉCI) under grant no. 2.5020.11. The present research benefited from computational resources made available on the HOKUSAI Big Waterfall System at RIKEN and Lucia, the Tier-1 supercomputer of the Walloon Region, infrastructure funded by the Walloon Region under the grant agreement no. 1910247.

FundersFunder number
Région Wallonne1910247
Fonds de la Recherche Scientifique F.R.S.-FNRS2.5020.11
Ministerio de Ciencia e InnovaciónPID2019-106114GB-I00
RIKEN

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